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  -0.0460  0.0067  0.0267  0.0289  0.0181  0.01
Anderszewski 2003   23  0.0056  0.0033  0.0925  0.3488  0.0220  0.08
Ashkenazy 1981   40  -0.0239  0.0055  0.0450  0.0488  0.0248  0.03
Bacha 2000   89  -0.1043  0.0088  0.0285  0.0290  0.0172  0.01
Badura 1965   29  -0.0110  0.0325  0.0728  0.3086  0.0221  0.08
Barbosa 1983   8  0.0224  0.0111  0.0714  0.4289  0.0215  0.09
Biret 1990   45  -0.0346  0.0043  0.0443  0.0889  0.0149  0.03
Blet 2003   21  0.002  0.083  0.1032  0.2688  0.0230  0.07
Block 1995   14  0.0113  0.037  0.083  0.5188  0.0210  0.10
Blumental 1952   76  -0.0738  0.0038  0.0638  0.1388  0.0237  0.05
Boshniakovich 1969   63  -0.0468  0.0079  0.0272  0.0289  0.0185  0.01
Brailowsky 1960   90  -0.1189  0.0090  0.0190  0.0190  0.0173  0.01
Bunin 1987   50  -0.0377  0.0071  0.0279  0.0289  0.0266  0.02
Bunin 1987b   49  -0.0390  0.0066  0.0365  0.0389  0.0260  0.02
Chiu 1999   58  -0.0441  0.0046  0.0546  0.0588  0.0155  0.02
Cohen 1997   31  -0.0112  0.0326  0.0927  0.3189  0.0136  0.06
Cortot 1951   1  0.054  0.064  0.101  0.5387  0.0212  0.10
Csalog 1996   65  -0.0442  0.0051  0.0454  0.0488  0.0244  0.03
Czerny 1949   11  0.0220  0.0221  0.0813  0.4388  0.0131  0.07
Czerny 1990   74  -0.0636  0.0053  0.0456  0.0490  0.0168  0.02
Duchoud 2007   75  -0.0758  0.0075  0.0276  0.0290  0.0183  0.01
Ezaki 2006   25  0.008  0.0519  0.0720  0.3789  0.0213  0.09
Falvay 1989   41  -0.0218  0.0218  0.1024  0.3489  0.0133  0.06
Farrell 1958   79  -0.0788  0.0054  0.0449  0.0489  0.0157  0.02
Ferenczy 1958   82  -0.0730  0.0168  0.0270  0.0290  0.0180  0.01
Fliere 1977   26  0.0071  0.0034  0.0834  0.2588  0.0225  0.07
Fou 1978   33  -0.0172  0.0065  0.0362  0.0389  0.0258  0.02
Francois 1956   69  -0.0580  0.0081  0.0278  0.0290  0.0190  0.01
Friedman 1923   71  -0.0673  0.0073  0.0286  0.0287  0.0271  0.02
Friedman 1923b   73  -0.0675  0.0070  0.0268  0.0287  0.0267  0.02
Friedman 1930   86  -0.0887  0.0084  0.0284  0.0289  0.0178  0.01
Garcia 2007   80  -0.0779  0.0052  0.0548  0.0588  0.0165  0.02
Garcia 2007b   46  -0.0351  0.0045  0.0453  0.0488  0.0170  0.02
Gierzod 1998   52  -0.0337  0.0083  0.0277  0.0290  0.0182  0.01
Gornostaeva 1994   9  0.0232  0.0110  0.0817  0.4188  0.0216  0.09
Groot 1988   72  -0.0682  0.0059  0.0455  0.0488  0.0250  0.03
Harasiewicz 1955   62  -0.0449  0.0078  0.0283  0.0290  0.0188  0.01
Hatto 1993   53  -0.0384  0.0062  0.0364  0.0389  0.0269  0.02
Hatto 1997   70  -0.0544  0.0085  0.0275  0.0289  0.0179  0.01
Horowitz 1949   88  -0.0969  0.0087  0.0188  0.0189  0.0176  0.01
Indjic 1988   38  -0.0248  0.0050  0.0452  0.0489  0.0243  0.03
Kapell 1951   39  -0.0223  0.0132  0.0731  0.2688  0.0228  0.07
Kissin 1993   4  0.036  0.065  0.084  0.4986  0.029  0.10
Kushner 1989   13  0.017  0.0514  0.067  0.4888  0.026  0.10
Luisada 1991   5  0.0327  0.0128  0.0633  0.2588  0.0224  0.07
Lushtak 2004   83  -0.0864  0.0074  0.0282  0.0290  0.0184  0.01
Malcuzynski 1961   16  0.0045  0.0030  0.0826  0.3189  0.0135  0.06
Magaloff 1978   81  -0.0785  0.0077  0.0269  0.0290  0.0174  0.01
Magin 1975   32  -0.0178  0.0036  0.0835  0.2488  0.0227  0.07
Michalowski 1933   15  0.0011  0.0313  0.0612  0.4685  0.032  0.12
Milkina 1970   17  0.0035  0.0024  0.0915  0.4289  0.0214  0.09
Mohovich 1999   78  -0.0740  0.0086  0.0287  0.0290  0.0186  0.01
Moravec 1969   43  -0.0314  0.0317  0.0911  0.4689  0.024  0.10
Morozova 2008   57  -0.0459  0.0064  0.0360  0.0390  0.0164  0.02
Neighaus 1950   6  0.0219  0.028  0.078  0.4784  0.033  0.12
Niedzielski 1931   77  -0.0774  0.0082  0.0281  0.0289  0.0175  0.01
Ohlsson 1999   27  0.0062  0.0037  0.0837  0.1789  0.0139  0.04
Osinska 1989   47  -0.0355  0.0048  0.0451  0.0490  0.0153  0.02
Pachmann 1927   54  -0.0367  0.0049  0.0547  0.0589  0.0162  0.02
Paderewski 1930   19  0.0021  0.019  0.0723  0.3487  0.0219  0.08
Perlemuter 1992   42  -0.0381  0.0069  0.0273  0.0289  0.0252  0.02
Pierdomenico 2008   48  -0.0328  0.0144  0.0444  0.0789  0.0238  0.04
Poblocka 1999   67  -0.0576  0.0060  0.0363  0.0389  0.0254  0.02
Rabcewiczowa 1932   68  -0.0557  0.0058  0.0457  0.0489  0.0156  0.02
Rachmaninoff 1923   20  0.0061  0.0029  0.0721  0.3688  0.0218  0.08
Rangell 2001   84  -0.0847  0.0076  0.0280  0.0290  0.0187  0.01
Richter 1976   44  -0.0334  0.0041  0.0441  0.1089  0.0142  0.03
Rosen 1989   24  0.0022  0.0123  0.0822  0.3588  0.0222  0.08
Rosenthal 1930   36  -0.0170  0.0031  0.0830  0.2888  0.0232  0.07
Rosenthal 1931   35  -0.0150  0.0035  0.0836  0.2389  0.0229  0.07
Rosenthal 1931b   28  0.0031  0.0127  0.0829  0.2989  0.0223  0.08
Rosenthal 1931c   30  -0.0126  0.0122  0.0918  0.4188  0.0217  0.09
Rosenthal 1931d   7  0.023  0.066  0.082  0.5189  0.0211  0.10
Rossi 2007   61  -0.0429  0.0140  0.0440  0.1188  0.0141  0.03
Rubinstein 1939   3  0.045  0.062  0.099  0.4787  0.025  0.10
Rubinstein 1952   85  -0.0883  0.0080  0.0274  0.0290  0.0189  0.01
Rubinstein 1966   87  -0.0965  0.0089  0.0189  0.0190  0.0177  0.01
Schilhawsky 1960   34  -0.0166  0.0039  0.0539  0.1188  0.0145  0.03
Shebanova 2002   55  -0.0354  0.0047  0.0545  0.0588  0.0247  0.03
Smith 1975   18  0.0025  0.0120  0.0916  0.4288  0.0134  0.06
Sokolov 2002   2  0.041  0.081  0.086  0.4989  0.0126  0.07
Sztompka 1959   10  0.0216  0.0315  0.0810  0.4788  0.028  0.10
Tomsic 1995   22  0.009  0.0416  0.085  0.4987  0.027  0.10
Uninsky 1932   51  -0.0317  0.0242  0.0442  0.0990  0.0146  0.03
Uninsky 1971   37  -0.0253  0.0057  0.0459  0.0489  0.0163  0.02
Wasowski 1980   60  -0.0486  0.0072  0.0271  0.0289  0.0251  0.02
Zak 1937   66  -0.0452  0.0063  0.0366  0.0389  0.0159  0.02
Zak 1951   64  -0.0463  0.0061  0.0361  0.0389  0.0161  0.02
Random 1   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Random 2   56  -0.0433  0.0156  0.0458  0.0454  0.0540  0.04
Random 3   12  0.0115  0.0312  0.0819  0.378  0.481  0.42

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).