Anderszewski 2003

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   59  0.2913  0.0167  0.0464  0.0466  0.0473  0.04
Anderszewski 2003   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Ashkenazy 1981   56  0.2965  0.0062  0.0747  0.0766  0.0557  0.06
Bacha 2000   35  0.3637  0.0036  0.0734  0.3312  0.5525  0.43
Badura 1965   14  0.4217  0.0015  0.1116  0.574  0.6212  0.59
Barbosa 1983   4  0.482  0.092  0.204  0.7210  0.615  0.66
Biret 1990   70  0.2575  0.0071  0.0385  0.0361  0.0488  0.03
Blet 2003   57  0.2976  0.0069  0.0560  0.0556  0.0561  0.05
Block 1995   11  0.4416  0.0117  0.1213  0.6111  0.5911  0.60
Blumental 1952   12  0.4226  0.0019  0.1115  0.5815  0.5715  0.57
Boshniakovich 1969   23  0.404  0.033  0.157  0.6713  0.589  0.62
Brailowsky 1960   9  0.4510  0.0112  0.1411  0.633  0.763  0.69
Bunin 1987   71  0.2572  0.0075  0.0377  0.0376  0.0386  0.03
Bunin 1987b   72  0.2466  0.0076  0.0470  0.0485  0.0383  0.03
Chiu 1999   46  0.3218  0.0068  0.0468  0.0465  0.0466  0.04
Cohen 1997   54  0.3154  0.0052  0.0749  0.0728  0.4842  0.18
Cortot 1951   68  0.2647  0.0066  0.0467  0.0449  0.0764  0.05
Csalog 1996   65  0.2874  0.0065  0.0466  0.0464  0.0572  0.04
Czerny 1949   34  0.3642  0.0024  0.1126  0.4420  0.6116  0.52
Czerny 1990   25  0.3828  0.0021  0.1121  0.5031  0.4421  0.47
Duchoud 2007   78  0.2231  0.0064  0.0374  0.0356  0.0674  0.04
Ezaki 2006   20  0.4021  0.0028  0.1228  0.4132  0.4127  0.41
Falvay 1989   16  0.428  0.0125  0.0822  0.4938  0.1830  0.30
Farrell 1958   60  0.2960  0.0057  0.0462  0.0461  0.0569  0.04
Ferenczy 1958   40  0.3450  0.0044  0.0743  0.1422  0.6233  0.29
Fliere 1977   28  0.3857  0.0040  0.0938  0.2881  0.0446  0.11
Fou 1978   3  0.4811  0.017  0.215  0.7011  0.616  0.65
Francois 1956   79  0.2270  0.0074  0.0380  0.0353  0.0577  0.04
Friedman 1923   76  0.2388  0.0080  0.0379  0.0365  0.0578  0.04
Friedman 1923b   80  0.2277  0.0082  0.0375  0.0374  0.0487  0.03
Friedman 1930   75  0.2384  0.0077  0.0372  0.0386  0.0385  0.03
Garcia 2007   55  0.3071  0.0042  0.1041  0.2119  0.4134  0.29
Garcia 2007b   73  0.2446  0.0034  0.0842  0.1929  0.2639  0.22
Gierzod 1998   6  0.467  0.025  0.202  0.754  0.682  0.71
Gornostaeva 1994   21  0.4023  0.0023  0.1118  0.5219  0.5317  0.52
Groot 1988   61  0.2961  0.0053  0.0750  0.0758  0.0558  0.06
Harasiewicz 1955   2  0.4929  0.008  0.203  0.7218  0.4813  0.59
Hatto 1993   18  0.4227  0.0026  0.1019  0.5238  0.1731  0.30
Hatto 1997   30  0.3819  0.0030  0.1030  0.3838  0.1438  0.23
Horowitz 1949   81  0.2173  0.0081  0.0384  0.0379  0.0384  0.03
Indjic 1988   26  0.3882  0.0029  0.0829  0.4044  0.1337  0.23
Kapell 1951   17  0.4249  0.0013  0.1312  0.6115  0.4118  0.50
Kissin 1993   37  0.3651  0.0039  0.0835  0.3337  0.3729  0.35
Kushner 1989   8  0.463  0.064  0.168  0.6713  0.5410  0.60
Luisada 1991   64  0.2981  0.0063  0.0471  0.0465  0.0659  0.05
Lushtak 2004   13  0.4215  0.0111  0.2010  0.648  0.638  0.63
Malcuzynski 1961   27  0.3843  0.0016  0.1317  0.5529  0.3523  0.44
Magaloff 1978   52  0.3133  0.0060  0.0656  0.0684  0.0367  0.04
Magin 1975   49  0.3122  0.0056  0.0463  0.0467  0.0468  0.04
Michalowski 1933   85  0.1644  0.0085  0.0286  0.0278  0.0389  0.02
Milkina 1970   5  0.476  0.026  0.216  0.7011  0.664  0.68
Mohovich 1999   7  0.4625  0.009  0.239  0.6610  0.647  0.65
Moravec 1969   22  0.4045  0.0027  0.1320  0.5119  0.3726  0.43
Morozova 2008   32  0.3756  0.0041  0.1039  0.2553  0.0547  0.11
Neighaus 1950   62  0.2962  0.0058  0.0561  0.0555  0.0563  0.05
Niedzielski 1931   63  0.2963  0.0050  0.0748  0.0760  0.0552  0.06
Ohlsson 1999   24  0.3814  0.0120  0.1131  0.3636  0.2432  0.29
Osinska 1989   42  0.3434  0.0037  0.0737  0.2958  0.0545  0.12
Pachmann 1927   84  0.1778  0.0083  0.0382  0.0364  0.0571  0.04
Paderewski 1930   83  0.1855  0.0079  0.0381  0.0357  0.0570  0.04
Perlemuter 1992   82  0.2079  0.0084  0.0373  0.0377  0.0479  0.03
Pierdomenico 2008   86  0.1285  0.0086  0.0287  0.0274  0.0482  0.03
Poblocka 1999   19  0.4148  0.0022  0.1323  0.4926  0.4520  0.47
Rabcewiczowa 1932   58  0.2938  0.0047  0.0746  0.0743  0.1349  0.10
Rachmaninoff 1923   77  0.2380  0.0078  0.0469  0.0478  0.0381  0.03
Rangell 2001   44  0.3341  0.0032  0.0832  0.3521  0.4928  0.41
Richter 1976   29  0.3835  0.0038  0.0636  0.2939  0.2136  0.25
Rosen 1989   50  0.3152  0.0054  0.0557  0.0574  0.0376  0.04
Rosenthal 1930   69  0.2664  0.0073  0.0378  0.0347  0.0675  0.04
Rosenthal 1931   31  0.3732  0.0035  0.1033  0.3511  0.7119  0.50
Rosenthal 1931b   45  0.3367  0.0046  0.0754  0.0713  0.6241  0.21
Rosenthal 1931c   47  0.329  0.0159  0.0558  0.0529  0.2548  0.11
Rosenthal 1931d   74  0.2358  0.0070  0.0465  0.0432  0.2350  0.10
Rossi 2007   87  0.1289  0.0087  0.0376  0.0357  0.0565  0.04
Rubinstein 1939   10  0.4412  0.0114  0.1214  0.5910  0.5514  0.57
Rubinstein 1952   33  0.3753  0.0031  0.0927  0.4141  0.2135  0.29
Rubinstein 1966   1  0.571  0.621  0.611  0.862  0.781  0.82
Schilhawsky 1960   41  0.3420  0.0045  0.0751  0.0730  0.2644  0.13
Shebanova 2002   48  0.3168  0.0051  0.0753  0.0757  0.0656  0.06
Smith 1975   36  0.3630  0.0043  0.0644  0.1432  0.3140  0.21
Sokolov 2002   66  0.2786  0.0072  0.0383  0.0368  0.0480  0.03
Sztompka 1959   53  0.3136  0.0033  0.0940  0.2444  0.1243  0.17
Tomsic 1995   38  0.355  0.0210  0.1425  0.4713  0.4622  0.46
Uninsky 1932   67  0.2659  0.0061  0.0655  0.0648  0.0655  0.06
Uninsky 1971   15  0.4224  0.0018  0.1424  0.4825  0.4124  0.44
Wasowski 1980   51  0.3190  0.0055  0.0559  0.0551  0.0660  0.05
Zak 1937   43  0.3340  0.0049  0.0752  0.0755  0.0553  0.06
Zak 1951   39  0.3539  0.0048  0.0845  0.0857  0.0554  0.06
Random 1   89  0.0069  0.0088  0.0288  0.0225  0.3451  0.08
Random 2   88  0.0087  0.0089  0.0189  0.0155  0.0590  0.02
Random 3   90  -0.0483  0.0090  0.0190  0.0126  0.2562  0.05

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).