Bacha 2000

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   21  0.3218  0.0130  0.0731  0.2752  0.0540  0.12
Anderszewski 2003   31  0.2935  0.009  0.1319  0.4615  0.5211  0.49
Ashkenazy 1981   4  0.426  0.024  0.246  0.6036  0.3813  0.48
Bacha 2000   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Badura 1965   26  0.3023  0.0021  0.1120  0.4615  0.5112  0.48
Barbosa 1983   28  0.2959  0.0035  0.0730  0.2859  0.0539  0.12
Biret 1990   71  0.1545  0.0082  0.0285  0.0275  0.0483  0.03
Blet 2003   79  0.1183  0.0069  0.0374  0.0371  0.0478  0.03
Block 1995   34  0.2631  0.0028  0.0927  0.3358  0.0535  0.13
Blumental 1952   1  0.492  0.232  0.412  0.751  0.792  0.77
Boshniakovich 1969   37  0.2660  0.0047  0.0650  0.0669  0.0459  0.05
Brailowsky 1960   20  0.3421  0.0018  0.1613  0.547  0.635  0.58
Bunin 1987   76  0.1250  0.0079  0.0284  0.0273  0.0480  0.03
Bunin 1987b   75  0.1364  0.0078  0.0286  0.0273  0.0475  0.03
Chiu 1999   13  0.3611  0.0217  0.1212  0.5438  0.2518  0.37
Cohen 1997   41  0.2578  0.0058  0.0649  0.0640  0.2042  0.11
Cortot 1951   44  0.2467  0.0050  0.0559  0.0535  0.2741  0.12
Csalog 1996   88  -0.0474  0.0087  0.0287  0.0287  0.0190  0.01
Czerny 1949   53  0.2232  0.0055  0.0556  0.0538  0.4134  0.14
Czerny 1990   65  0.1768  0.0068  0.0375  0.0369  0.0482  0.03
Duchoud 2007   73  0.1337  0.0072  0.0472  0.0475  0.0468  0.04
Ezaki 2006   7  0.4019  0.0114  0.1015  0.5324  0.567  0.54
Falvay 1989   11  0.3740  0.0024  0.1124  0.4022  0.3717  0.38
Farrell 1958   85  0.0456  0.0085  0.0376  0.0387  0.0288  0.02
Ferenczy 1958   19  0.3413  0.0120  0.1225  0.3810  0.806  0.55
Fliere 1977   69  0.1684  0.0066  0.0466  0.0452  0.0653  0.05
Fou 1978   9  0.3810  0.0212  0.148  0.5617  0.459  0.50
Francois 1956   68  0.1788  0.0059  0.0647  0.0651  0.0651  0.06
Friedman 1923   77  0.1279  0.0075  0.0469  0.0479  0.0384  0.03
Friedman 1923b   80  0.1185  0.0076  0.0378  0.0380  0.0381  0.03
Friedman 1930   54  0.2162  0.0062  0.0562  0.0575  0.0467  0.04
Garcia 2007   47  0.2436  0.0045  0.0746  0.0747  0.0650  0.06
Garcia 2007b   40  0.2538  0.0026  0.0929  0.2941  0.1628  0.22
Gierzod 1998   2  0.491  0.441  0.431  0.821  0.841  0.83
Gornostaeva 1994   61  0.2075  0.0071  0.0563  0.0559  0.0560  0.05
Groot 1988   55  0.2176  0.0061  0.0561  0.0576  0.0371  0.04
Harasiewicz 1955   27  0.2916  0.0127  0.0926  0.3644  0.1130  0.20
Hatto 1993   6  0.408  0.025  0.164  0.6531  0.2916  0.43
Hatto 1997   12  0.3720  0.0025  0.1218  0.4834  0.2223  0.32
Horowitz 1949   81  0.1058  0.0081  0.0279  0.0275  0.0476  0.03
Indjic 1988   5  0.4115  0.016  0.165  0.6527  0.3710  0.49
Kapell 1951   15  0.357  0.0213  0.1117  0.5030  0.2819  0.37
Kissin 1993   38  0.2669  0.0040  0.0740  0.1968  0.0544  0.10
Kushner 1989   3  0.463  0.043  0.213  0.689  0.593  0.63
Luisada 1991   62  0.2070  0.0063  0.0465  0.0469  0.0562  0.04
Lushtak 2004   39  0.2689  0.0053  0.0560  0.0562  0.0558  0.05
Malcuzynski 1961   14  0.364  0.037  0.1611  0.5423  0.3914  0.46
Magaloff 1978   63  0.1948  0.0056  0.0648  0.0676  0.0364  0.04
Magin 1975   67  0.1786  0.0057  0.0653  0.0665  0.0555  0.05
Michalowski 1933   66  0.1712  0.0142  0.0544  0.1253  0.0747  0.09
Milkina 1970   30  0.2934  0.0033  0.0732  0.2630  0.3524  0.30
Mohovich 1999   18  0.3525  0.008  0.0922  0.4227  0.3220  0.37
Moravec 1969   50  0.2339  0.0052  0.0651  0.0665  0.0452  0.05
Morozova 2008   16  0.355  0.0216  0.1010  0.5534  0.2021  0.33
Neighaus 1950   48  0.2424  0.0049  0.0564  0.0581  0.0372  0.04
Niedzielski 1931   59  0.2014  0.0143  0.0641  0.1376  0.0449  0.07
Ohlsson 1999   51  0.2361  0.0029  0.0938  0.2155  0.0543  0.10
Osinska 1989   72  0.1429  0.0070  0.0468  0.0471  0.0374  0.03
Pachmann 1927   43  0.2465  0.0044  0.0742  0.1356  0.0646  0.09
Paderewski 1930   45  0.2430  0.0032  0.0639  0.1947  0.0738  0.12
Perlemuter 1992   74  0.1371  0.0074  0.0470  0.0470  0.0463  0.04
Pierdomenico 2008   64  0.1827  0.0065  0.0558  0.0571  0.0365  0.04
Poblocka 1999   83  0.0853  0.0083  0.0281  0.0284  0.0385  0.02
Rabcewiczowa 1932   57  0.2151  0.0067  0.0373  0.0357  0.0666  0.04
Rachmaninoff 1923   87  -0.0277  0.0086  0.0283  0.0287  0.0287  0.02
Rangell 2001   35  0.2663  0.0036  0.0833  0.2544  0.0932  0.15
Richter 1976   56  0.2166  0.0064  0.0467  0.0458  0.0657  0.05
Rosen 1989   52  0.2287  0.0060  0.0745  0.0786  0.0269  0.04
Rosenthal 1930   78  0.1290  0.0080  0.0282  0.0259  0.0579  0.03
Rosenthal 1931   22  0.3249  0.0015  0.1114  0.5310  0.724  0.62
Rosenthal 1931b   25  0.3146  0.0023  0.0921  0.4514  0.668  0.54
Rosenthal 1931c   36  0.2673  0.0041  0.0643  0.1231  0.3729  0.21
Rosenthal 1931d   46  0.2444  0.0037  0.0736  0.2128  0.4025  0.29
Rossi 2007   86  -0.0154  0.0090  0.0190  0.0184  0.0386  0.02
Rubinstein 1939   49  0.2428  0.0039  0.0737  0.2146  0.0933  0.14
Rubinstein 1952   60  0.2080  0.0054  0.0652  0.0668  0.0461  0.05
Rubinstein 1966   17  0.3526  0.0022  0.1016  0.5037  0.1526  0.27
Schilhawsky 1960   32  0.2843  0.0034  0.0634  0.2422  0.4322  0.32
Shebanova 2002   8  0.3955  0.0011  0.117  0.5958  0.0827  0.22
Smith 1975   58  0.2117  0.0151  0.0557  0.0540  0.1545  0.09
Sokolov 2002   33  0.2847  0.0046  0.0654  0.0655  0.0454  0.05
Sztompka 1959   70  0.1572  0.0073  0.0471  0.0481  0.0377  0.03
Tomsic 1995   24  0.3122  0.0031  0.0628  0.3060  0.0537  0.12
Uninsky 1932   23  0.3241  0.0019  0.1123  0.4148  0.0831  0.18
Uninsky 1971   10  0.389  0.0210  0.119  0.5620  0.3815  0.46
Wasowski 1980   84  0.0681  0.0084  0.0280  0.0264  0.0573  0.03
Zak 1937   42  0.2552  0.0048  0.0555  0.0556  0.0656  0.05
Zak 1951   29  0.2933  0.0038  0.0835  0.2450  0.0636  0.12
Random 1   89  -0.0442  0.0089  0.0188  0.0149  0.0489  0.02
Random 2   82  0.0982  0.0077  0.0377  0.0327  0.2848  0.09
Random 3   90  -0.0457  0.0088  0.0189  0.0130  0.1870  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).