Random 1

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   74  -0.0651  0.0068  0.0377  0.0391  0.0170  0.02
Anderszewski 2003   72  -0.0673  0.0081  0.0374  0.0391  0.0164  0.02
Ashkenazy 1981   10  0.0382  0.0033  0.0625  0.2390  0.0131  0.05
Bacha 2000   49  -0.0213  0.0232  0.0640  0.1191  0.0139  0.03
Badura 1965   61  -0.0443  0.0043  0.0443  0.0891  0.0146  0.03
Barbosa 1983   14  0.0227  0.0015  0.0914  0.3888  0.0211  0.09
Biret 1990   25  0.0023  0.0149  0.0454  0.0491  0.0178  0.02
Blet 2003   28  0.0038  0.0045  0.0445  0.0791  0.0145  0.03
Block 1995   59  -0.0446  0.0038  0.0537  0.1290  0.0147  0.03
Blumental 1952   48  -0.0210  0.0310  0.0932  0.1991  0.0138  0.04
Boshniakovich 1969   38  -0.0157  0.0064  0.0459  0.0489  0.0174  0.02
Brailowsky 1960   80  -0.0889  0.0082  0.0373  0.0391  0.0153  0.02
Bunin 1987   57  -0.0358  0.0070  0.0547  0.0590  0.0175  0.02
Bunin 1987b   58  -0.0375  0.0069  0.0376  0.0390  0.0160  0.02
Chiu 1999   13  0.0261  0.0044  0.0542  0.0990  0.0140  0.03
Cohen 1997   11  0.0320  0.0114  0.1111  0.4185  0.0212  0.09
Cortot 1951   6  0.057  0.049  0.0915  0.3890  0.0128  0.06
Csalog 1996   29  0.0014  0.0219  0.0628  0.2286  0.0221  0.07
Czerny 1949   85  -0.1056  0.0090  0.0190  0.0191  0.0189  0.01
Czerny 1990   83  -0.0935  0.0084  0.0283  0.0291  0.0191  0.01
Duchoud 2007   26  0.0052  0.0035  0.0731  0.1991  0.0136  0.04
Ezaki 2006   63  -0.0412  0.0247  0.0457  0.0491  0.0149  0.02
Falvay 1989   43  -0.0278  0.0036  0.0434  0.1688  0.0224  0.06
Farrell 1958   51  -0.0255  0.0060  0.0365  0.0390  0.0158  0.02
Ferenczy 1958   90  -0.1267  0.0089  0.0288  0.0291  0.0188  0.01
Fliere 1977   32  0.0083  0.0040  0.0441  0.1089  0.0233  0.04
Fou 1978   34  0.0040  0.0046  0.0456  0.0490  0.0159  0.02
Francois 1956   82  -0.0891  0.0074  0.0378  0.0391  0.0181  0.02
Friedman 1923   18  0.0184  0.0029  0.0719  0.2881  0.0315  0.09
Friedman 1923b   19  0.0119  0.0128  0.0618  0.2981  0.0313  0.09
Friedman 1930   75  -0.0739  0.0080  0.0282  0.0290  0.0187  0.01
Garcia 2007   68  -0.0562  0.0039  0.0536  0.1389  0.0230  0.05
Garcia 2007b   1  0.094  0.084  0.142  0.5485  0.028  0.10
Gierzod 1998   60  -0.0430  0.0083  0.0367  0.0391  0.0171  0.02
Gornostaeva 1994   46  -0.0274  0.0053  0.0450  0.0491  0.0176  0.02
Groot 1988   65  -0.045  0.0517  0.0723  0.2689  0.0223  0.07
Harasiewicz 1955   78  -0.0748  0.0079  0.0369  0.0391  0.0180  0.02
Hatto 1993   33  0.0071  0.0050  0.0453  0.0490  0.0179  0.02
Hatto 1997   52  -0.0272  0.0063  0.0364  0.0391  0.0169  0.02
Horowitz 1949   87  -0.1047  0.0076  0.0284  0.0291  0.0186  0.01
Indjic 1988   31  0.0079  0.0041  0.0439  0.1190  0.0144  0.03
Kapell 1951   91  -0.1563  0.0091  0.0191  0.0191  0.0185  0.01
Kissin 1993   24  0.0022  0.0116  0.0812  0.3988  0.0210  0.09
Kushner 1989   17  0.0264  0.0025  0.0521  0.2790  0.0219  0.07
Luisada 1991   21  0.0159  0.0051  0.0548  0.0591  0.0151  0.02
Lushtak 2004   62  -0.0476  0.0071  0.0368  0.0391  0.0172  0.02
Malcuzynski 1961   66  -0.0553  0.0066  0.0375  0.0391  0.0161  0.02
Magaloff 1978   54  -0.0390  0.0059  0.0449  0.0491  0.0154  0.02
Magin 1975   16  0.0225  0.0020  0.0716  0.3489  0.0216  0.08
Michalowski 1933   47  -0.0236  0.0052  0.0646  0.0690  0.0243  0.03
Milkina 1970   42  -0.0211  0.0218  0.1117  0.3187  0.0217  0.08
Mohovich 1999   84  -0.1069  0.0088  0.0289  0.0291  0.0190  0.01
Moravec 1969   89  -0.1044  0.0075  0.0372  0.0391  0.0150  0.02
Morozova 2008   41  -0.0245  0.0055  0.0363  0.0391  0.0167  0.02
Neighaus 1950   15  0.0231  0.0034  0.0729  0.2189  0.0227  0.06
Niedzielski 1931   56  -0.0341  0.0056  0.0360  0.0390  0.0157  0.02
Ohlsson 1999   20  0.0149  0.0023  0.0826  0.2390  0.0220  0.07
Osinska 1989   86  -0.1085  0.0086  0.0287  0.0291  0.0182  0.01
Pachmann 1927   50  -0.0254  0.0024  0.0630  0.2189  0.0226  0.06
Paderewski 1930   44  -0.0232  0.0027  0.0633  0.1891  0.0135  0.04
Perlemuter 1992   36  -0.0142  0.0042  0.0444  0.0890  0.0234  0.04
Pierdomenico 2008   27  0.0024  0.0126  0.0622  0.2789  0.0218  0.07
Poblocka 1999   79  -0.0886  0.0087  0.0286  0.0291  0.0183  0.01
Rabcewiczowa 1932   88  -0.1060  0.0085  0.0285  0.0291  0.0184  0.01
Rachmaninoff 1923   71  -0.0533  0.0054  0.0362  0.0390  0.0155  0.02
Rangell 2001   69  -0.0518  0.0167  0.0371  0.0391  0.0177  0.02
Richter 1976   76  -0.0777  0.0057  0.0361  0.0390  0.0163  0.02
Rosen 1989   37  -0.0150  0.0062  0.0452  0.0491  0.0173  0.02
Rosenthal 1930   40  -0.0217  0.0122  0.0635  0.1491  0.0137  0.04
Rosenthal 1931   9  0.0334  0.0012  0.097  0.4688  0.025  0.10
Rosenthal 1931b   8  0.0428  0.0013  0.139  0.4587  0.0214  0.09
Rosenthal 1931c   30  0.0068  0.0021  0.0720  0.2891  0.0132  0.05
Rosenthal 1931d   7  0.0416  0.016  0.135  0.5087  0.027  0.10
Rossi 2007   2  0.081  0.191  0.191  0.6048  0.043  0.15
Rubinstein 1939   22  0.016  0.045  0.1110  0.4267  0.044  0.13
Rubinstein 1952   81  -0.0865  0.0058  0.0451  0.0485  0.0248  0.03
Rubinstein 1966   77  -0.0770  0.0072  0.0370  0.0390  0.0165  0.02
Schilhawsky 1960   70  -0.0566  0.0078  0.0381  0.0390  0.0166  0.02
Shebanova 2002   4  0.068  0.048  0.084  0.5090  0.026  0.10
Smith 1975   67  -0.0537  0.0065  0.0458  0.0491  0.0156  0.02
Sokolov 2002   12  0.0315  0.0111  0.088  0.4588  0.029  0.09
Sztompka 1959   55  -0.0387  0.0037  0.0438  0.1190  0.0142  0.03
Tomsic 1995   45  -0.029  0.047  0.0913  0.3889  0.0125  0.06
Uninsky 1932   35  -0.0121  0.0130  0.0627  0.2288  0.0222  0.07
Uninsky 1971   23  0.0126  0.0031  0.0524  0.2491  0.0129  0.05
Wasowski 1980   73  -0.0680  0.0073  0.0380  0.0391  0.0152  0.02
Zak 1937   39  -0.0229  0.0048  0.0455  0.0489  0.0241  0.03
Zak 1951   53  -0.0388  0.0061  0.0366  0.0389  0.0162  0.02
Average   64  -0.0481  0.0077  0.0379  0.0391  0.0168  0.02
Random 1   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Random 2   5  0.053  0.123  0.176  0.4710  0.382  0.42
Random 3   3  0.062  0.132  0.163  0.5410  0.411  0.47

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).