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  0.0269  0.0290  0.0182  0.01
Anderszewski 2003   23  0.0056  0.0033  0.0925  0.3489  0.0219  0.08
Ashkenazy 1981   40  -0.0239  0.0055  0.0453  0.0489  0.0248  0.03
Bacha 2000   90  -0.1043  0.0089  0.0286  0.0291  0.0172  0.01
Badura 1965   29  -0.0110  0.0325  0.0728  0.3187  0.0220  0.08
Barbosa 1983   8  0.0224  0.0111  0.0713  0.4390  0.0215  0.09
Biret 1990   45  -0.0346  0.0043  0.0443  0.0890  0.0149  0.03
Blet 2003   21  0.002  0.083  0.1032  0.2689  0.0230  0.07
Block 1995   14  0.0113  0.037  0.083  0.5289  0.0210  0.10
Blumental 1952   77  -0.0738  0.0038  0.0638  0.1589  0.0237  0.05
Boshniakovich 1969   63  -0.0468  0.0080  0.0272  0.0290  0.0186  0.01
Brailowsky 1960   91  -0.1190  0.0091  0.0191  0.0191  0.0173  0.01
Bunin 1987   50  -0.0377  0.0071  0.0279  0.0290  0.0267  0.02
Bunin 1987b   49  -0.0391  0.0066  0.0366  0.0390  0.0261  0.02
Chiu 1999   58  -0.0441  0.0046  0.0547  0.0589  0.0156  0.02
Cohen 1997   31  -0.0112  0.0326  0.0926  0.3290  0.0136  0.06
Cortot 1951   1  0.054  0.064  0.101  0.5388  0.0212  0.10
Csalog 1996   65  -0.0442  0.0051  0.0454  0.0489  0.0245  0.03
Czerny 1949   11  0.0220  0.0221  0.0814  0.4389  0.0131  0.07
Czerny 1990   75  -0.0636  0.0053  0.0455  0.0491  0.0169  0.02
Duchoud 2007   76  -0.0758  0.0075  0.0285  0.0291  0.0184  0.01
Ezaki 2006   25  0.008  0.0519  0.0719  0.3890  0.0133  0.06
Falvay 1989   41  -0.0218  0.0218  0.1023  0.3590  0.0134  0.06
Farrell 1958   80  -0.0789  0.0054  0.0451  0.0490  0.0158  0.02
Ferenczy 1958   83  -0.0730  0.0168  0.0268  0.0291  0.0181  0.01
Fliere 1977   26  0.0071  0.0034  0.0833  0.2689  0.0224  0.07
Fou 1978   33  -0.0172  0.0064  0.0364  0.0390  0.0259  0.02
Francois 1956   69  -0.0580  0.0082  0.0278  0.0291  0.0191  0.01
Friedman 1923   72  -0.0673  0.0073  0.0282  0.0288  0.0271  0.02
Friedman 1923b   74  -0.0675  0.0070  0.0267  0.0288  0.0268  0.02
Friedman 1930   87  -0.0887  0.0085  0.0284  0.0290  0.0179  0.01
Garcia 2007   81  -0.0779  0.0052  0.0549  0.0589  0.0166  0.02
Garcia 2007b   46  -0.0351  0.0045  0.0445  0.0889  0.0151  0.03
Gierzod 1998   52  -0.0337  0.0084  0.0276  0.0291  0.0183  0.01
Gornostaeva 1994   9  0.0232  0.0110  0.0818  0.4189  0.0216  0.09
Groot 1988   73  -0.0682  0.0059  0.0457  0.0489  0.0250  0.03
Harasiewicz 1955   62  -0.0449  0.0079  0.0283  0.0291  0.0189  0.01
Hatto 1993   53  -0.0384  0.0065  0.0363  0.0390  0.0270  0.02
Hatto 1997   71  -0.0544  0.0086  0.0275  0.0290  0.0180  0.01
Horowitz 1949   89  -0.0969  0.0088  0.0189  0.0190  0.0176  0.01
Indjic 1988   38  -0.0248  0.0050  0.0452  0.0490  0.0244  0.03
Kapell 1951   39  -0.0223  0.0132  0.0731  0.2789  0.0228  0.07
Kissin 1993   4  0.036  0.065  0.084  0.5087  0.029  0.10
Kushner 1989   13  0.017  0.0514  0.067  0.4889  0.026  0.10
Luisada 1991   5  0.0327  0.0128  0.0634  0.2689  0.0223  0.07
Lushtak 2004   84  -0.0864  0.0074  0.0277  0.0291  0.0185  0.01
Malcuzynski 1961   16  0.0045  0.0030  0.0827  0.3290  0.0135  0.06
Magaloff 1978   82  -0.0785  0.0078  0.0270  0.0291  0.0174  0.01
Magin 1975   32  -0.0178  0.0036  0.0836  0.2489  0.0227  0.07
Michalowski 1933   15  0.0011  0.0313  0.0612  0.4786  0.032  0.12
Milkina 1970   17  0.0035  0.0024  0.0916  0.4290  0.0214  0.09
Mohovich 1999   79  -0.0740  0.0087  0.0288  0.0291  0.0187  0.01
Moravec 1969   43  -0.0314  0.0317  0.098  0.4790  0.024  0.10
Morozova 2008   57  -0.0459  0.0063  0.0360  0.0391  0.0165  0.02
Neighaus 1950   6  0.0219  0.028  0.0710  0.4785  0.033  0.12
Niedzielski 1931   78  -0.0774  0.0083  0.0281  0.0290  0.0175  0.01
Ohlsson 1999   27  0.0062  0.0037  0.0837  0.1890  0.0139  0.04
Osinska 1989   47  -0.0355  0.0048  0.0450  0.0491  0.0154  0.02
Pachmann 1927   54  -0.0367  0.0049  0.0548  0.0590  0.0163  0.02
Paderewski 1930   19  0.0021  0.019  0.0724  0.3588  0.0218  0.08
Perlemuter 1992   42  -0.0381  0.0069  0.0273  0.0290  0.0253  0.02
Pierdomenico 2008   48  -0.0328  0.0144  0.0444  0.0890  0.0238  0.04
Poblocka 1999   67  -0.0576  0.0060  0.0362  0.0390  0.0255  0.02
Rabcewiczowa 1932   68  -0.0557  0.0058  0.0456  0.0490  0.0157  0.02
Rachmaninoff 1923   20  0.0061  0.0029  0.0721  0.3789  0.0213  0.09
Rangell 2001   85  -0.0847  0.0077  0.0280  0.0291  0.0188  0.01
Richter 1976   44  -0.0334  0.0041  0.0441  0.1090  0.0143  0.03
Rosen 1989   24  0.0022  0.0123  0.0822  0.3689  0.0221  0.08
Rosenthal 1930   36  -0.0170  0.0031  0.0830  0.2889  0.0232  0.07
Rosenthal 1931   35  -0.0150  0.0035  0.0835  0.2490  0.0229  0.07
Rosenthal 1931b   28  0.0031  0.0127  0.0929  0.3090  0.0222  0.08
Rosenthal 1931c   30  -0.0126  0.0122  0.0917  0.4289  0.0217  0.09
Rosenthal 1931d   7  0.023  0.066  0.082  0.5290  0.0211  0.10
Rossi 2007   61  -0.0429  0.0140  0.0440  0.1189  0.0142  0.03
Rubinstein 1939   3  0.045  0.062  0.0911  0.4788  0.025  0.10
Rubinstein 1952   86  -0.0883  0.0081  0.0274  0.0291  0.0190  0.01
Rubinstein 1966   88  -0.0965  0.0090  0.0190  0.0191  0.0177  0.01
Schilhawsky 1960   34  -0.0166  0.0039  0.0539  0.1389  0.0140  0.04
Shebanova 2002   55  -0.0354  0.0047  0.0546  0.0589  0.0247  0.03
Smith 1975   18  0.0025  0.0120  0.0915  0.4389  0.0126  0.07
Sokolov 2002   2  0.041  0.081  0.086  0.4990  0.0125  0.07
Sztompka 1959   10  0.0216  0.0315  0.089  0.4789  0.028  0.10
Tomsic 1995   22  0.009  0.0416  0.085  0.4988  0.027  0.10
Uninsky 1932   51  -0.0317  0.0242  0.0442  0.0991  0.0146  0.03
Uninsky 1971   37  -0.0253  0.0057  0.0459  0.0490  0.0164  0.02
Wasowski 1980   60  -0.0486  0.0072  0.0271  0.0290  0.0252  0.02
Zak 1937   66  -0.0452  0.0062  0.0365  0.0390  0.0160  0.02
Zak 1951   64  -0.0463  0.0061  0.0361  0.0390  0.0162  0.02
Average   70  -0.0588  0.0076  0.0287  0.0290  0.0178  0.01
Random 1   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Random 2   56  -0.0433  0.0156  0.0458  0.0453  0.0541  0.04
Random 3   12  0.0115  0.0312  0.0820  0.388  0.481  0.43

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).