Random 1

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   59  -0.0760  0.0072  0.0277  0.0290  0.0183  0.01
Anderszewski 2003   7  0.021  0.171  0.172  0.5488  0.025  0.10
Ashkenazy 1981   80  -0.1037  0.0082  0.0287  0.0289  0.0187  0.01
Bacha 2000   89  -0.1636  0.0083  0.0286  0.0290  0.0170  0.01
Badura 1965   20  0.0014  0.0116  0.078  0.4786  0.026  0.10
Barbosa 1983   24  -0.0166  0.0041  0.0637  0.1890  0.0143  0.04
Biret 1990   69  -0.0982  0.0073  0.0270  0.0290  0.0188  0.01
Blet 2003   45  -0.066  0.0512  0.0633  0.2089  0.0232  0.06
Block 1995   5  0.033  0.083  0.234  0.5283  0.032  0.12
Blumental 1952   54  -0.0724  0.0138  0.0539  0.1788  0.0234  0.06
Boshniakovich 1969   30  -0.0287  0.0040  0.0642  0.1489  0.0144  0.04
Brailowsky 1960   56  -0.0750  0.0048  0.0458  0.0489  0.0150  0.02
Bunin 1987   38  -0.0557  0.0050  0.0456  0.0488  0.0164  0.02
Bunin 1987b   37  -0.0469  0.0046  0.0646  0.0688  0.0151  0.02
Chiu 1999   60  -0.077  0.0415  0.0636  0.1890  0.0141  0.04
Cohen 1997   28  -0.029  0.0342  0.0538  0.1789  0.0235  0.06
Cortot 1951   6  0.0211  0.035  0.145  0.5185  0.027  0.10
Csalog 1996   78  -0.1056  0.0060  0.0362  0.0389  0.0158  0.02
Czerny 1949   8  0.0221  0.017  0.137  0.4889  0.0125  0.07
Czerny 1990   58  -0.0751  0.0034  0.0530  0.2289  0.0139  0.05
Duchoud 2007   70  -0.0926  0.0176  0.0363  0.0390  0.0162  0.02
Ezaki 2006   33  -0.0380  0.0037  0.0529  0.2289  0.0222  0.07
Falvay 1989   64  -0.0829  0.0027  0.0635  0.1888  0.0228  0.06
Farrell 1958   53  -0.0761  0.0039  0.0540  0.1689  0.0142  0.04
Ferenczy 1958   74  -0.0941  0.0066  0.0273  0.0289  0.0181  0.01
Fliere 1977   34  -0.0388  0.0035  0.0728  0.2489  0.0223  0.07
Fou 1978   21  -0.0120  0.0128  0.0532  0.2188  0.0230  0.06
Francois 1956   49  -0.0675  0.0071  0.0269  0.0290  0.0190  0.01
Friedman 1923   72  -0.0932  0.0063  0.0267  0.0287  0.0269  0.02
Friedman 1923b   73  -0.0935  0.0064  0.0451  0.0487  0.0247  0.03
Friedman 1930   87  -0.1465  0.0068  0.0280  0.0290  0.0179  0.01
Garcia 2007   75  -0.1062  0.0055  0.0449  0.0490  0.0163  0.02
Garcia 2007b   79  -0.1044  0.0058  0.0457  0.0489  0.0168  0.02
Gierzod 1998   63  -0.0867  0.0078  0.0278  0.0290  0.0184  0.01
Gornostaeva 1994   2  0.0415  0.0121  0.0819  0.3687  0.0218  0.08
Groot 1988   85  -0.1490  0.0067  0.0364  0.0389  0.0165  0.02
Harasiewicz 1955   36  -0.0489  0.0054  0.0459  0.0490  0.0166  0.02
Hatto 1993   76  -0.1081  0.0080  0.0271  0.0290  0.0189  0.01
Hatto 1997   82  -0.1263  0.0087  0.0285  0.0290  0.0180  0.01
Horowitz 1949   65  -0.0883  0.0084  0.0283  0.0289  0.0253  0.02
Indjic 1988   68  -0.0977  0.0077  0.0268  0.0290  0.0177  0.01
Kapell 1951   1  0.044  0.084  0.233  0.5388  0.024  0.10
Kissin 1993   35  -0.0355  0.0052  0.0453  0.0489  0.0155  0.02
Kushner 1989   3  0.0416  0.016  0.106  0.4888  0.023  0.10
Luisada 1991   19  0.0018  0.0129  0.0544  0.1189  0.0236  0.05
Lushtak 2004   86  -0.1442  0.0086  0.0284  0.0290  0.0185  0.01
Malcuzynski 1961   13  0.0048  0.0017  0.069  0.4589  0.0124  0.07
Magaloff 1978   83  -0.1284  0.0075  0.0272  0.0290  0.0173  0.01
Magin 1975   31  -0.0285  0.0036  0.0534  0.1988  0.0229  0.06
Michalowski 1933   9  0.012  0.162  0.191  0.5658  0.031  0.13
Milkina 1970   12  0.0064  0.0020  0.0817  0.3789  0.0131  0.06
Mohovich 1999   62  -0.0872  0.0085  0.0279  0.0290  0.0186  0.01
Moravec 1969   39  -0.0528  0.018  0.1211  0.4388  0.028  0.09
Morozova 2008   51  -0.0752  0.0051  0.0454  0.0490  0.0159  0.02
Neighaus 1950   27  -0.0158  0.0030  0.0526  0.2889  0.0226  0.07
Niedzielski 1931   52  -0.0749  0.0056  0.0455  0.0489  0.0245  0.03
Ohlsson 1999   55  -0.0753  0.0059  0.0360  0.0390  0.0154  0.02
Osinska 1989   29  -0.0286  0.0043  0.0641  0.1589  0.0140  0.04
Pachmann 1927   26  -0.0140  0.0031  0.0524  0.3186  0.0215  0.08
Paderewski 1930   77  -0.1045  0.0079  0.0274  0.0289  0.0176  0.01
Perlemuter 1992   61  -0.0754  0.0069  0.0281  0.0289  0.0171  0.01
Pierdomenico 2008   66  -0.0947  0.0074  0.0275  0.0290  0.0174  0.01
Poblocka 1999   18  0.0019  0.0125  0.0923  0.3289  0.0214  0.08
Rabcewiczowa 1932   22  -0.0173  0.0023  0.0616  0.3788  0.0211  0.09
Rachmaninoff 1923   15  0.0046  0.0022  0.0818  0.3789  0.0127  0.06
Rangell 2001   32  -0.0225  0.0119  0.0720  0.3383  0.0219  0.08
Richter 1976   17  0.0017  0.0114  0.0610  0.4589  0.0212  0.09
Rosen 1989   23  -0.0112  0.039  0.1112  0.4288  0.0213  0.09
Rosenthal 1930   40  -0.0527  0.0133  0.0627  0.2789  0.0138  0.05
Rosenthal 1931   50  -0.0770  0.0053  0.0450  0.0489  0.0157  0.02
Rosenthal 1931b   43  -0.0571  0.0049  0.0452  0.0489  0.0167  0.02
Rosenthal 1931c   42  -0.0513  0.0226  0.0621  0.3288  0.0221  0.08
Rosenthal 1931d   25  -0.0168  0.0032  0.0525  0.3089  0.0220  0.08
Rossi 2007   90  -0.1774  0.0090  0.0190  0.0190  0.0172  0.01
Rubinstein 1939   4  0.0322  0.0118  0.0715  0.3786  0.0210  0.09
Rubinstein 1952   47  -0.0638  0.0044  0.0643  0.1190  0.0148  0.03
Rubinstein 1966   84  -0.1378  0.0089  0.0189  0.0190  0.0178  0.01
Schilhawsky 1960   11  0.0030  0.0011  0.0714  0.3890  0.0133  0.06
Shebanova 2002   88  -0.1576  0.0081  0.0282  0.0290  0.0182  0.01
Smith 1975   10  0.015  0.0510  0.0613  0.3987  0.029  0.09
Sokolov 2002   16  0.008  0.0413  0.0831  0.2189  0.0137  0.05
Sztompka 1959   14  0.0043  0.0024  0.0722  0.3289  0.0216  0.08
Tomsic 1995   41  -0.0533  0.0047  0.0547  0.0589  0.0246  0.03
Uninsky 1932   57  -0.0710  0.0361  0.0361  0.0390  0.0160  0.02
Uninsky 1971   44  -0.0634  0.0057  0.0448  0.0490  0.0156  0.02
Wasowski 1980   46  -0.0639  0.0065  0.0266  0.0289  0.0249  0.02
Zak 1937   71  -0.0979  0.0070  0.0276  0.0290  0.0175  0.01
Zak 1951   67  -0.0959  0.0062  0.0365  0.0390  0.0152  0.02
Random 1   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Random 2   81  -0.1131  0.0088  0.0188  0.0163  0.0361  0.02
Random 3   48  -0.0623  0.0145  0.0645  0.0644  0.1017  0.08

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).