Random 1

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   84  -0.2072  0.0079  0.0277  0.0291  0.0188  0.01
Anderszewski 2003   67  -0.1650  0.0064  0.0370  0.0391  0.0162  0.02
Ashkenazy 1981   63  -0.1580  0.0067  0.0547  0.0591  0.0170  0.02
Bacha 2000   61  -0.1545  0.0069  0.0460  0.0491  0.0148  0.02
Badura 1965   16  -0.0884  0.0021  0.1011  0.4491  0.0117  0.07
Barbosa 1983   7  -0.0515  0.0131  0.0629  0.2991  0.0136  0.05
Biret 1990   59  -0.1449  0.0066  0.0464  0.0491  0.0172  0.02
Blet 2003   31  -0.1074  0.0042  0.0641  0.1591  0.0141  0.04
Block 1995   28  -0.1011  0.0218  0.0725  0.3390  0.0128  0.06
Blumental 1952   58  -0.1473  0.0015  0.0843  0.1391  0.0142  0.04
Boshniakovich 1969   24  -0.1038  0.0023  0.0824  0.3490  0.0129  0.06
Brailowsky 1960   79  -0.2062  0.0088  0.0190  0.0191  0.0178  0.01
Bunin 1987   3  -0.0218  0.003  0.195  0.5189  0.0118  0.07
Bunin 1987b   4  -0.0226  0.004  0.186  0.5189  0.0113  0.07
Chiu 1999   39  -0.1279  0.0055  0.0462  0.0491  0.0154  0.02
Cohen 1997   17  -0.0814  0.0110  0.1216  0.3790  0.025  0.09
Cortot 1951   6  -0.055  0.058  0.164  0.5590  0.0121  0.07
Csalog 1996   12  -0.0744  0.0025  0.0627  0.3290  0.0124  0.06
Czerny 1949   64  -0.1529  0.0070  0.0375  0.0391  0.0166  0.02
Czerny 1990   78  -0.1985  0.0083  0.0284  0.0291  0.0190  0.01
Duchoud 2007   11  -0.0748  0.0020  0.0712  0.4391  0.0116  0.07
Ezaki 2006   70  -0.1742  0.0076  0.0371  0.0391  0.0147  0.02
Falvay 1989   80  -0.2081  0.0089  0.0187  0.0191  0.0179  0.01
Farrell 1958   53  -0.1455  0.0063  0.0366  0.0391  0.0157  0.02
Ferenczy 1958   77  -0.1924  0.0082  0.0280  0.0291  0.0187  0.01
Fliere 1977   47  -0.1333  0.0052  0.0457  0.0490  0.0151  0.02
Fou 1978   44  -0.1266  0.0039  0.0828  0.2991  0.0134  0.05
Francois 1956   86  -0.2175  0.0085  0.0281  0.0291  0.0191  0.01
Friedman 1923   13  -0.0710  0.026  0.1614  0.4386  0.027  0.09
Friedman 1923b   10  -0.073  0.145  0.1515  0.4388  0.0119  0.07
Friedman 1930   85  -0.2125  0.0072  0.0372  0.0391  0.0164  0.02
Garcia 2007   40  -0.1235  0.0036  0.0834  0.2690  0.0137  0.05
Garcia 2007b   14  -0.0831  0.0013  0.0810  0.4789  0.024  0.10
Gierzod 1998   57  -0.1488  0.0071  0.0368  0.0391  0.0167  0.02
Gornostaeva 1994   52  -0.1341  0.0059  0.0463  0.0490  0.0171  0.02
Groot 1988   66  -0.1619  0.0044  0.0644  0.1391  0.0143  0.04
Harasiewicz 1955   48  -0.1386  0.0047  0.0453  0.0491  0.0175  0.02
Hatto 1993   43  -0.1256  0.0050  0.0549  0.0591  0.0174  0.02
Hatto 1997   60  -0.1567  0.0068  0.0455  0.0491  0.0165  0.02
Horowitz 1949   49  -0.1334  0.0043  0.0642  0.1490  0.0139  0.04
Indjic 1988   46  -0.1389  0.0053  0.0454  0.0491  0.0161  0.02
Kapell 1951   89  -0.2283  0.0087  0.0189  0.0191  0.0183  0.01
Kissin 1993   50  -0.1357  0.0041  0.0738  0.2090  0.0140  0.04
Kushner 1989   38  -0.1187  0.0054  0.0452  0.0491  0.0158  0.02
Luisada 1991   76  -0.1976  0.0086  0.0285  0.0291  0.0176  0.01
Lushtak 2004   71  -0.1870  0.0062  0.0465  0.0491  0.0168  0.02
Malcuzynski 1961   26  -0.1016  0.0022  0.0722  0.3690  0.0122  0.06
Magaloff 1978   54  -0.1440  0.0061  0.0461  0.0490  0.0155  0.02
Magin 1975   35  -0.1139  0.0024  0.0635  0.2591  0.0133  0.05
Michalowski 1933   55  -0.1459  0.0038  0.0737  0.2391  0.0135  0.05
Milkina 1970   36  -0.1121  0.0019  0.0713  0.4389  0.0112  0.07
Mohovich 1999   69  -0.1763  0.0074  0.0373  0.0391  0.0169  0.02
Moravec 1969   74  -0.1830  0.0065  0.0369  0.0391  0.0149  0.02
Morozova 2008   68  -0.1677  0.0058  0.0367  0.0391  0.0163  0.02
Neighaus 1950   65  -0.1561  0.0057  0.0456  0.0491  0.0173  0.02
Niedzielski 1931   27  -0.1013  0.0117  0.0933  0.2690  0.0211  0.07
Ohlsson 1999   56  -0.1451  0.0045  0.0645  0.1291  0.0146  0.03
Osinska 1989   87  -0.2178  0.0084  0.0286  0.0291  0.0177  0.01
Pachmann 1927   29  -0.104  0.0711  0.137  0.4890  0.0115  0.07
Paderewski 1930   91  -0.2258  0.0080  0.0282  0.0291  0.0184  0.01
Perlemuter 1992   33  -0.1171  0.0048  0.0451  0.0489  0.0152  0.02
Pierdomenico 2008   83  -0.2032  0.0090  0.0188  0.0191  0.0181  0.01
Poblocka 1999   51  -0.1353  0.0056  0.0459  0.0491  0.0153  0.02
Rabcewiczowa 1932   90  -0.2222  0.0081  0.0283  0.0291  0.0182  0.01
Rachmaninoff 1923   72  -0.1827  0.0060  0.0458  0.0490  0.0156  0.02
Rangell 2001   32  -0.1182  0.0034  0.0632  0.2691  0.0138  0.05
Richter 1976   9  -0.067  0.039  0.129  0.4790  0.023  0.10
Rosen 1989   82  -0.2068  0.0073  0.0278  0.0291  0.0189  0.01
Rosenthal 1930   23  -0.1054  0.0030  0.0620  0.3690  0.0127  0.06
Rosenthal 1931   21  -0.0937  0.0027  0.0717  0.3790  0.0123  0.06
Rosenthal 1931b   15  -0.0846  0.0026  0.0719  0.3790  0.026  0.09
Rosenthal 1931c   30  -0.1028  0.0029  0.0721  0.3690  0.0130  0.06
Rosenthal 1931d   25  -0.1052  0.0032  0.0730  0.2890  0.0220  0.07
Rossi 2007   42  -0.129  0.0316  0.0740  0.1590  0.0231  0.05
Rubinstein 1939   34  -0.1123  0.0037  0.0736  0.2490  0.0132  0.05
Rubinstein 1952   41  -0.1269  0.0040  0.0739  0.1990  0.0144  0.04
Rubinstein 1966   73  -0.1860  0.0077  0.0279  0.0291  0.0185  0.01
Schilhawsky 1960   8  -0.0664  0.0028  0.0623  0.3590  0.029  0.08
Shebanova 2002   18  -0.0812  0.0133  0.0626  0.3291  0.0126  0.06
Smith 1975   88  -0.2190  0.0091  0.0191  0.0191  0.0180  0.01
Sokolov 2002   20  -0.096  0.0412  0.178  0.4891  0.0110  0.07
Sztompka 1959   81  -0.2043  0.0075  0.0374  0.0391  0.0160  0.02
Tomsic 1995   22  -0.0936  0.0035  0.0731  0.2790  0.0214  0.07
Uninsky 1932   19  -0.0847  0.0014  0.1018  0.3790  0.0125  0.06
Uninsky 1971   5  -0.028  0.037  0.152  0.5989  0.018  0.08
Wasowski 1980   62  -0.1520  0.0051  0.0450  0.0490  0.0150  0.02
Zak 1937   37  -0.1117  0.0046  0.0646  0.0690  0.0245  0.03
Zak 1951   45  -0.1265  0.0049  0.0548  0.0590  0.0159  0.02
Average   75  -0.1891  0.0078  0.0276  0.0291  0.0186  0.01
Random 1   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Random 2   2  0.052  0.212  0.381  0.711  0.591  0.65
Random 3   1  0.071  0.241  0.243  0.576  0.522  0.54

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).