Block 1995

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   78  0.1962  0.0074  0.0479  0.0474  0.0383  0.03
Anderszewski 2003   52  0.3350  0.0047  0.0745  0.0717  0.5141  0.19
Ashkenazy 1981   23  0.4563  0.0016  0.1512  0.6128  0.5417  0.57
Bacha 2000   64  0.2667  0.0048  0.0558  0.0527  0.3350  0.13
Badura 1965   46  0.3439  0.0046  0.0649  0.0619  0.4945  0.17
Barbosa 1983   57  0.3028  0.0037  0.0738  0.1829  0.3539  0.25
Biret 1990   83  0.0953  0.0085  0.0287  0.0278  0.0389  0.02
Blet 2003   39  0.3673  0.0044  0.0544  0.1039  0.2844  0.17
Block 1995   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Blumental 1952   59  0.2927  0.0039  0.0642  0.1426  0.4140  0.24
Boshniakovich 1969   5  0.544  0.096  0.333  0.771  0.774  0.77
Brailowsky 1960   53  0.3254  0.0052  0.0472  0.0427  0.4351  0.13
Bunin 1987   68  0.2582  0.0067  0.0466  0.0447  0.0773  0.05
Bunin 1987b   66  0.2674  0.0066  0.0475  0.0446  0.0868  0.06
Chiu 1999   40  0.3638  0.0062  0.0648  0.0649  0.0864  0.07
Cohen 1997   51  0.3381  0.0061  0.0560  0.0539  0.2259  0.10
Cortot 1951   29  0.4123  0.0034  0.1032  0.3810  0.6125  0.48
Csalog 1996   49  0.3318  0.0160  0.0559  0.0539  0.1958  0.10
Czerny 1949   87  0.0768  0.0087  0.0286  0.0257  0.0582  0.03
Czerny 1990   71  0.2464  0.0071  0.0381  0.0346  0.0974  0.05
Duchoud 2007   73  0.2483  0.0075  0.0383  0.0373  0.0484  0.03
Ezaki 2006   74  0.2376  0.0072  0.0474  0.0446  0.1066  0.06
Falvay 1989   77  0.1984  0.0068  0.0380  0.0364  0.0481  0.03
Farrell 1958   85  0.0869  0.0086  0.0285  0.0275  0.0386  0.02
Ferenczy 1958   79  0.1841  0.0079  0.0478  0.0431  0.5647  0.15
Fliere 1977   2  0.602  0.212  0.381  0.818  0.801  0.80
Fou 1978   35  0.3713  0.0133  0.1029  0.4218  0.4531  0.43
Francois 1956   65  0.2651  0.0073  0.0564  0.0539  0.2555  0.11
Friedman 1923   16  0.4717  0.0125  0.1123  0.4826  0.5124  0.49
Friedman 1923b   14  0.4734  0.0024  0.1221  0.4923  0.5422  0.51
Friedman 1930   12  0.4865  0.0026  0.1024  0.4725  0.5521  0.51
Garcia 2007   15  0.4715  0.0112  0.1211  0.615  0.6711  0.64
Garcia 2007b   72  0.2426  0.0051  0.0467  0.0436  0.3156  0.11
Gierzod 1998   54  0.3242  0.0035  0.1034  0.3515  0.6227  0.47
Gornostaeva 1994   32  0.3837  0.0042  0.0641  0.1521  0.5638  0.29
Groot 1988   26  0.4370  0.0021  0.1120  0.5021  0.4229  0.46
Harasiewicz 1955   3  0.603  0.105  0.302  0.791  0.772  0.78
Hatto 1993   43  0.3485  0.0043  0.0740  0.1552  0.0953  0.12
Hatto 1997   80  0.1686  0.0080  0.0477  0.0470  0.0478  0.04
Horowitz 1949   36  0.3745  0.0045  0.0650  0.0636  0.3149  0.14
Indjic 1988   60  0.2987  0.0055  0.0647  0.0647  0.0965  0.07
Kapell 1951   58  0.3079  0.0058  0.0557  0.0548  0.0767  0.06
Kissin 1993   25  0.436  0.0415  0.1617  0.5614  0.6812  0.62
Kushner 1989   24  0.4421  0.0014  0.1416  0.578  0.6214  0.59
Luisada 1991   45  0.3449  0.0054  0.0651  0.0649  0.0863  0.07
Lushtak 2004   33  0.3724  0.0030  0.0835  0.3511  0.5032  0.42
Malcuzynski 1961   18  0.477  0.0313  0.1114  0.5811  0.5915  0.58
Magaloff 1978   6  0.549  0.014  0.256  0.7211  0.707  0.71
Magin 1975   48  0.3446  0.0053  0.0563  0.0539  0.2654  0.11
Michalowski 1933   20  0.4633  0.0023  0.0927  0.4416  0.5026  0.47
Milkina 1970   86  0.0877  0.0081  0.0476  0.0458  0.0577  0.04
Mohovich 1999   10  0.4912  0.0117  0.1415  0.576  0.6813  0.62
Moravec 1969   37  0.3732  0.0031  0.0930  0.4117  0.4730  0.44
Morozova 2008   41  0.3544  0.0040  0.0643  0.1359  0.0561  0.08
Neighaus 1950   21  0.458  0.0219  0.0818  0.5620  0.4028  0.47
Niedzielski 1931   38  0.3730  0.0041  0.0539  0.1840  0.1842  0.18
Ohlsson 1999   13  0.4819  0.0010  0.119  0.667  0.6410  0.65
Osinska 1989   17  0.4716  0.0122  0.0726  0.4513  0.6120  0.52
Pachmann 1927   4  0.5511  0.017  0.167  0.718  0.806  0.75
Paderewski 1930   7  0.5410  0.013  0.204  0.742  0.803  0.77
Perlemuter 1992   1  0.601  0.311  0.305  0.732  0.805  0.76
Pierdomenico 2008   22  0.4514  0.0118  0.1022  0.488  0.6119  0.54
Poblocka 1999   34  0.3731  0.0027  0.1133  0.3616  0.4333  0.39
Rabcewiczowa 1932   63  0.2859  0.0070  0.0554  0.0531  0.3552  0.13
Rachmaninoff 1923   70  0.2547  0.0069  0.0471  0.0452  0.0575  0.04
Rangell 2001   61  0.2940  0.0065  0.0468  0.0455  0.0580  0.04
Richter 1976   8  0.5425  0.0011  0.1110  0.6521  0.728  0.68
Rosen 1989   11  0.4935  0.0020  0.1019  0.5415  0.5818  0.56
Rosenthal 1930   69  0.2566  0.0076  0.0473  0.0446  0.0672  0.05
Rosenthal 1931   82  0.1188  0.0082  0.0469  0.0445  0.1069  0.06
Rosenthal 1931b   81  0.1160  0.0083  0.0382  0.0367  0.0485  0.03
Rosenthal 1931c   75  0.2389  0.0077  0.0470  0.0441  0.1662  0.08
Rosenthal 1931d   84  0.0890  0.0084  0.0284  0.0271  0.0390  0.02
Rossi 2007   67  0.2548  0.0059  0.0561  0.058  0.5843  0.17
Rubinstein 1939   76  0.2161  0.0078  0.0465  0.0465  0.0476  0.04
Rubinstein 1952   30  0.4129  0.0028  0.1128  0.4311  0.6023  0.51
Rubinstein 1966   28  0.4175  0.0036  0.1231  0.3824  0.3136  0.34
Schilhawsky 1960   44  0.3480  0.0050  0.0562  0.0513  0.5146  0.16
Shebanova 2002   9  0.5443  0.008  0.148  0.6920  0.659  0.67
Smith 1975   62  0.2978  0.0064  0.0652  0.0633  0.3448  0.14
Sokolov 2002   31  0.4071  0.0032  0.1036  0.2510  0.5535  0.37
Sztompka 1959   19  0.465  0.059  0.1413  0.5916  0.5616  0.57
Tomsic 1995   50  0.3356  0.0038  0.0737  0.2417  0.3437  0.29
Uninsky 1932   27  0.4322  0.0029  0.1225  0.4632  0.3334  0.39
Uninsky 1971   55  0.3120  0.0049  0.0555  0.0563  0.0571  0.05
Wasowski 1980   56  0.3172  0.0063  0.0553  0.0565  0.0570  0.05
Zak 1937   42  0.3552  0.0056  0.0556  0.0543  0.1360  0.08
Zak 1951   47  0.3436  0.0057  0.0646  0.0637  0.1857  0.10
Random 1   89  -0.0157  0.0088  0.0188  0.0145  0.0588  0.02
Random 2   90  -0.0558  0.0089  0.0189  0.0159  0.0587  0.02
Random 3   88  0.0055  0.0090  0.0190  0.0138  0.1379  0.04

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).