Random 1

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   70  -0.1363  0.0071  0.0368  0.0391  0.0162  0.02
Anderszewski 2003   20  -0.062  0.113  0.116  0.4890  0.028  0.10
Ashkenazy 1981   89  -0.1862  0.0091  0.0191  0.0191  0.0189  0.01
Bacha 2000   90  -0.2043  0.0073  0.0275  0.0291  0.0173  0.01
Badura 1965   12  -0.0329  0.0114  0.127  0.4889  0.029  0.10
Barbosa 1983   4  -0.0113  0.0323  0.0722  0.2890  0.0132  0.05
Biret 1990   65  -0.1282  0.0063  0.0366  0.0391  0.0168  0.02
Blet 2003   18  -0.058  0.039  0.1021  0.3089  0.0218  0.08
Block 1995   10  -0.024  0.085  0.115  0.5089  0.0210  0.10
Blumental 1952   74  -0.1460  0.0075  0.0282  0.0291  0.0188  0.01
Boshniakovich 1969   32  -0.0883  0.0028  0.0826  0.2390  0.0137  0.05
Brailowsky 1960   87  -0.1747  0.0085  0.0284  0.0291  0.0176  0.01
Bunin 1987   8  -0.0215  0.0211  0.1810  0.4689  0.0211  0.10
Bunin 1987b   9  -0.0216  0.0210  0.119  0.4789  0.025  0.10
Chiu 1999   85  -0.1640  0.0079  0.0274  0.0291  0.0178  0.01
Cohen 1997   40  -0.0865  0.0056  0.0358  0.0391  0.0167  0.02
Cortot 1951   2  0.003  0.092  0.141  0.5789  0.0120  0.08
Csalog 1996   52  -0.1069  0.0030  0.0641  0.1289  0.0233  0.05
Czerny 1949   1  0.0014  0.024  0.102  0.5789  0.023  0.11
Czerny 1990   53  -0.1048  0.0035  0.0429  0.1889  0.0142  0.04
Duchoud 2007   66  -0.1245  0.0062  0.0362  0.0391  0.0164  0.02
Ezaki 2006   33  -0.0889  0.0046  0.0448  0.0490  0.0150  0.02
Falvay 1989   81  -0.1533  0.0069  0.0371  0.0391  0.0152  0.02
Farrell 1958   62  -0.1234  0.0040  0.0442  0.1291  0.0146  0.03
Ferenczy 1958   50  -0.1011  0.0337  0.0435  0.1589  0.0235  0.05
Fliere 1977   49  -0.1087  0.0047  0.0447  0.0490  0.0151  0.02
Fou 1978   27  -0.0725  0.0126  0.0830  0.1890  0.0225  0.06
Francois 1956   51  -0.1079  0.0077  0.0367  0.0391  0.0171  0.02
Friedman 1923   68  -0.135  0.0438  0.0436  0.1589  0.0238  0.05
Friedman 1923b   69  -0.1337  0.0039  0.0533  0.1789  0.0226  0.06
Friedman 1930   83  -0.1641  0.0044  0.0643  0.1189  0.0234  0.05
Garcia 2007   79  -0.1571  0.0065  0.0370  0.0390  0.0165  0.02
Garcia 2007b   86  -0.1638  0.0078  0.0361  0.0390  0.0172  0.02
Gierzod 1998   42  -0.0972  0.0059  0.0359  0.0391  0.0163  0.02
Gornostaeva 1994   16  -0.0517  0.0224  0.0724  0.2689  0.0222  0.07
Groot 1988   73  -0.1490  0.0076  0.0278  0.0290  0.0190  0.01
Harasiewicz 1955   21  -0.0688  0.0033  0.0538  0.1490  0.0143  0.04
Hatto 1993   71  -0.1366  0.0082  0.0281  0.0290  0.0191  0.01
Hatto 1997   76  -0.1476  0.0086  0.0283  0.0290  0.0185  0.01
Horowitz 1949   48  -0.1049  0.0057  0.0449  0.0490  0.0247  0.03
Indjic 1988   67  -0.1358  0.0080  0.0272  0.0290  0.0183  0.01
Kapell 1951   11  -0.0310  0.038  0.104  0.5090  0.024  0.10
Kissin 1993   39  -0.0850  0.0061  0.0357  0.0389  0.0157  0.02
Kushner 1989   23  -0.0639  0.0032  0.0537  0.1489  0.0230  0.05
Luisada 1991   58  -0.1152  0.0084  0.0286  0.0291  0.0174  0.01
Lushtak 2004   88  -0.1754  0.0090  0.0190  0.0191  0.0187  0.01
Malcuzynski 1961   17  -0.059  0.037  0.128  0.4789  0.026  0.10
Magaloff 1978   72  -0.1364  0.0074  0.0279  0.0291  0.0179  0.01
Magin 1975   64  -0.1277  0.0058  0.0360  0.0391  0.0153  0.02
Michalowski 1933   30  -0.0835  0.0019  0.0715  0.4090  0.0215  0.09
Milkina 1970   15  -0.0536  0.0015  0.0913  0.4289  0.0214  0.09
Mohovich 1999   44  -0.0967  0.0060  0.0363  0.0391  0.0166  0.02
Moravec 1969   29  -0.0824  0.0117  0.0811  0.4589  0.0212  0.09
Morozova 2008   61  -0.1157  0.0064  0.0365  0.0391  0.0159  0.02
Neighaus 1950   57  -0.1073  0.0053  0.0450  0.0490  0.0249  0.03
Niedzielski 1931   47  -0.0930  0.0150  0.0453  0.0489  0.0245  0.03
Ohlsson 1999   77  -0.1459  0.0066  0.0276  0.0291  0.0182  0.01
Osinska 1989   25  -0.0755  0.0041  0.0532  0.1789  0.0139  0.04
Pachmann 1927   37  -0.0823  0.0120  0.0725  0.2491  0.0131  0.05
Paderewski 1930   80  -0.1544  0.0072  0.0280  0.0290  0.0181  0.01
Perlemuter 1992   54  -0.1068  0.0081  0.0277  0.0291  0.0175  0.01
Pierdomenico 2008   84  -0.1653  0.0089  0.0189  0.0191  0.0180  0.01
Poblocka 1999   19  -0.0542  0.0036  0.0439  0.1390  0.0140  0.04
Rabcewiczowa 1932   59  -0.1180  0.0055  0.0546  0.0590  0.0154  0.02
Rachmaninoff 1923   43  -0.0956  0.0045  0.0545  0.0991  0.0144  0.03
Rangell 2001   24  -0.076  0.0413  0.1116  0.3989  0.0127  0.06
Richter 1976   3  -0.017  0.046  0.133  0.5487  0.027  0.10
Rosen 1989   56  -0.1012  0.0329  0.0727  0.2389  0.0136  0.05
Rosenthal 1930   31  -0.0828  0.0121  0.0719  0.3189  0.0219  0.08
Rosenthal 1931   63  -0.1274  0.0067  0.0273  0.0290  0.0258  0.02
Rosenthal 1931b   60  -0.1170  0.0068  0.0364  0.0390  0.0269  0.02
Rosenthal 1931c   55  -0.1027  0.0127  0.0731  0.1790  0.0228  0.06
Rosenthal 1931d   45  -0.0961  0.0054  0.0456  0.0490  0.0248  0.03
Rossi 2007   91  -0.2085  0.0088  0.0188  0.0191  0.0177  0.01
Rubinstein 1939   5  -0.0119  0.0118  0.0712  0.4489  0.0213  0.09
Rubinstein 1952   35  -0.0832  0.0051  0.0451  0.0489  0.0170  0.02
Rubinstein 1966   78  -0.1575  0.0087  0.0187  0.0191  0.0184  0.01
Schilhawsky 1960   7  -0.0251  0.0022  0.0717  0.3789  0.0216  0.09
Shebanova 2002   82  -0.1584  0.0083  0.0285  0.0291  0.0186  0.01
Smith 1975   46  -0.0922  0.0143  0.0540  0.1290  0.0229  0.05
Sokolov 2002   22  -0.0621  0.0112  0.1114  0.4190  0.0124  0.06
Sztompka 1959   41  -0.0981  0.0031  0.0528  0.2090  0.0141  0.04
Tomsic 1995   13  -0.0431  0.0016  0.1020  0.3089  0.0217  0.08
Uninsky 1932   34  -0.0818  0.0248  0.0455  0.0491  0.0161  0.02
Uninsky 1971   14  -0.0446  0.0025  0.0723  0.2889  0.0221  0.07
Wasowski 1980   28  -0.0820  0.0142  0.0534  0.1690  0.0223  0.06
Zak 1937   38  -0.0886  0.0052  0.0452  0.0491  0.0155  0.02
Zak 1951   36  -0.0878  0.0049  0.0454  0.0491  0.0156  0.02
Average   75  -0.1491  0.0070  0.0369  0.0391  0.0160  0.02
Random 1   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Random 2   26  -0.0726  0.0134  0.0544  0.0935  0.162  0.12
Random 3   6  -0.021  0.151  0.1518  0.367  0.371  0.36

Note: To load data table give above into Excel, copy and paste the data into a text editor (such as WordPad) first, then copy the text in the editor and past into Excel. You should remove the "target" line from the data before pasting into Excel so that plotting graphs of the data is done properly.

Column descriptions

  • Performance:
  • 0-Rank/0-Score: 0-Score is equivalent to Pearson correlation of the entire data sequence between the reference performance and a test performance. 0-Rank is the sorting order of the 0-scores (highest score has a rank of 1).
  • 1-Rank/1-Score: 1-Score is the area fraction covered by a particular performance in the scape plot (see image above). These values should not be taken literally, since they are sensitive to the Hatto Effect.
  • 2-Rank/2-Score: 2-Score values are equivalent to 1-Score values with all higher-ranking performances removed before the calculation of the area of coverage in the scape is calculated. Improvment over the 1-Rank scores, but still somewhat sensitive to the Hatto Effect.
  • 3-Rank/3-Score: Similar to 2-Rank calculations. The bottom 1/2 of the 2-rank performances are kept constant as a noise floor for the similarity measurement. Then one-by-one the top 1/2 of the 2-rank performances are superimposed with the noise-floor performances, and a 3-score is measured as the area covered in the scape. This measure is not sentisive to the Hatto Effect.
  • 3R-Rank/3R-Score: Reverse 3-rank/3-scores. 3-rankings and scores are not symmetric (A->B values are different from B->A values). So this column represents similarity measures in the opposite direction.
  • 4-Rank/4-Score: The geometric mean between 3-scores and 3R-scores. This column gives the best overall similarity ranking between the various performances (see color codes below).
  • NED: Noise Equivalient Distance (not yet implemented)

Color codes for 3-rank listings:

  • red = strongly similar performance to target
  • orange = moderately similar performance
  • yellow = weakly similar performance
  • green = marginally similar/dissimilar performance
  • white = dissimilar to target
  • blue = false positive (has high 3-rank score but low 3R-rank score)

3-rank/scores are not symmetric, so the 3R-rank/score columns give the 3-rank/scores going in the opposite direction. More matches in the 3-rank column than in the 3R-rank column indicates an individualistic performance, while more matches in the 3R-rank column indicates a mainstream performance.

If a 3-rank and a 3R-rank are both marked as similar to each other, then there is a possible direct relation between the performances. If one is similar to the other but not in the reverse direction, then the similarity is more likely to be by chance (performers randomly chose a similar interpretation).