Anderszewski 2003

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   19  0.7462  0.0019  0.0715  0.3169  0.0447  0.11
Anderszewski 2003   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Ashkenazy 1981   41  0.6750  0.0015  0.0725  0.2627  0.2629  0.26
Bacha 2000   49  0.6637  0.0051  0.0456  0.0424  0.2254  0.09
Badura 1965   32  0.7069  0.0055  0.0551  0.0535  0.3241  0.13
Barbosa 1983   72  0.5441  0.0052  0.0552  0.0522  0.2446  0.11
Biret 1990   30  0.708  0.0422  0.0717  0.3018  0.3811  0.34
Blet 2003   58  0.6182  0.0075  0.0468  0.0451  0.0674  0.05
Block 1995   37  0.6923  0.0112  0.0814  0.328  0.428  0.37
Blumental 1952   70  0.5555  0.0058  0.0462  0.0474  0.0484  0.04
Boshniakovich 1969   11  0.7630  0.0116  0.0719  0.2929  0.3416  0.31
Brailowsky 1960   12  0.7517  0.0142  0.0643  0.1520  0.3432  0.23
Bunin 1987   84  0.4266  0.0074  0.0380  0.0340  0.1960  0.08
Bunin 1987b   85  0.4076  0.0073  0.0375  0.0341  0.1863  0.07
Chiu 1999   40  0.6710  0.0314  0.0735  0.2217  0.3027  0.26
Cohen 1997   86  0.3963  0.0088  0.0373  0.0353  0.0586  0.04
Cortot 1951   56  0.6264  0.0064  0.0466  0.0447  0.0587  0.04
Csalog 1996   87  0.3368  0.0080  0.0383  0.0350  0.0490  0.03
Czerny 1949   26  0.7235  0.0046  0.0747  0.0742  0.1943  0.12
Czerny 1990   7  0.7721  0.0125  0.0622  0.2627  0.2630  0.26
Duchoud 2007   76  0.5051  0.0057  0.0465  0.0453  0.0582  0.04
Ezaki 2006   2  0.836  0.053  0.213  0.505  0.562  0.53
Falvay 1989   73  0.5224  0.0185  0.0386  0.0349  0.0972  0.05
Farrell 1958   47  0.6783  0.0041  0.0542  0.1632  0.2735  0.21
Ferenczy 1958   55  0.6442  0.0072  0.0461  0.0437  0.1167  0.07
Fliere 1977   5  0.817  0.056  0.174  0.4826  0.279  0.36
Fou 1978   36  0.6920  0.0145  0.0645  0.1143  0.1048  0.10
Francois 1956   53  0.6431  0.0159  0.0463  0.0443  0.1169  0.07
Friedman 1923   13  0.7526  0.0135  0.0820  0.2736  0.3319  0.30
Friedman 1923b   21  0.7439  0.0036  0.0723  0.2638  0.3322  0.29
Friedman 1930   8  0.7614  0.0134  0.0527  0.2534  0.3421  0.29
Garcia 2007   48  0.6648  0.0044  0.0644  0.1246  0.0852  0.10
Garcia 2007b   63  0.5985  0.0054  0.0550  0.0555  0.0576  0.05
Gierzod 1998   18  0.7436  0.0010  0.0810  0.3830  0.2713  0.32
Gornostaeva 1994   10  0.763  0.105  0.136  0.452  0.613  0.52
Groot 1988   61  0.6056  0.0049  0.0458  0.0439  0.2158  0.09
Harasiewicz 1955   4  0.8211  0.027  0.175  0.4615  0.406  0.43
Hatto 1993   27  0.7028  0.0138  0.0731  0.2424  0.3026  0.27
Hatto 1997   23  0.7370  0.0039  0.1029  0.2427  0.3025  0.27
Horowitz 1949   46  0.6767  0.0047  0.0648  0.0634  0.3638  0.15
Indjic 1988   22  0.7327  0.0137  0.0728  0.2527  0.3024  0.27
Kapell 1951   66  0.5840  0.0030  0.0636  0.2158  0.0549  0.10
Kissin 1993   38  0.6819  0.0140  0.0738  0.2143  0.1039  0.14
Kushner 1989   20  0.7413  0.0229  0.0618  0.3027  0.3118  0.30
Luisada 1991   9  0.7690  0.008  0.0916  0.3120  0.3114  0.31
Lushtak 2004   51  0.6557  0.0060  0.0457  0.0465  0.0483  0.04
Malcuzynski 1961   64  0.5958  0.0061  0.0464  0.0425  0.2450  0.10
Magaloff 1978   57  0.6261  0.0076  0.0379  0.0351  0.0678  0.04
Magin 1975   34  0.694  0.102  0.147  0.4413  0.464  0.45
Michalowski 1933   62  0.6065  0.0070  0.0288  0.0266  0.0489  0.03
Milkina 1970   6  0.7732  0.0111  0.088  0.4211  0.495  0.45
Mohovich 1999   29  0.705  0.069  0.0811  0.3730  0.3310  0.35
Moravec 1969   83  0.4345  0.0087  0.0378  0.0359  0.0577  0.04
Morozova 2008   39  0.6879  0.0033  0.0639  0.1934  0.2036  0.19
Neighaus 1950   14  0.7577  0.0031  0.0624  0.2633  0.2134  0.23
Niedzielski 1931   50  0.6553  0.0053  0.0455  0.0443  0.1362  0.07
Ohlsson 1999   17  0.7515  0.0113  0.0713  0.3327  0.3015  0.31
Osinska 1989   3  0.822  0.134  0.211  0.615  0.611  0.61
Pachmann 1927   42  0.6787  0.0077  0.0384  0.0333  0.1665  0.07
Paderewski 1930   52  0.6416  0.0165  0.0469  0.0441  0.1164  0.07
Perlemuter 1992   35  0.6959  0.0048  0.0846  0.0870  0.0470  0.06
Pierdomenico 2008   82  0.4588  0.0067  0.0374  0.0338  0.1959  0.08
Poblocka 1999   60  0.6122  0.0117  0.0737  0.2143  0.1337  0.17
Rabcewiczowa 1932   69  0.5652  0.0081  0.0459  0.0469  0.0479  0.04
Rachmaninoff 1923   15  0.7544  0.0032  0.0533  0.2326  0.2433  0.23
Rangell 2001   80  0.4825  0.0123  0.0641  0.176  0.4923  0.29
Richter 1976   68  0.5638  0.0069  0.0376  0.0339  0.2856  0.09
Rosen 1989   28  0.7029  0.0120  0.0732  0.2427  0.2731  0.25
Rosenthal 1930   71  0.559  0.0356  0.0649  0.0621  0.2740  0.13
Rosenthal 1931   78  0.5046  0.0078  0.0382  0.0336  0.1666  0.07
Rosenthal 1931b   79  0.5072  0.0082  0.0381  0.0338  0.1471  0.06
Rosenthal 1931c   81  0.4543  0.0084  0.0553  0.0552  0.0575  0.05
Rosenthal 1931d   74  0.5180  0.0083  0.0377  0.0337  0.1668  0.07
Rossi 2007   44  0.6733  0.0168  0.0467  0.0427  0.2844  0.11
Rubinstein 1939   67  0.5678  0.0062  0.0470  0.0439  0.1461  0.07
Rubinstein 1952   88  0.2860  0.0086  0.0387  0.0353  0.0688  0.04
Rubinstein 1966   43  0.6771  0.0063  0.0460  0.0438  0.2451  0.10
Schilhawsky 1960   54  0.6454  0.0050  0.0554  0.0564  0.0480  0.04
Shebanova 2002   33  0.6981  0.0043  0.0740  0.1965  0.0457  0.09
Smith 1975   24  0.7212  0.0224  0.0621  0.2618  0.3220  0.29
Sokolov 2002   59  0.6134  0.0028  0.0734  0.2313  0.3817  0.30
Sztompka 1959   16  0.7549  0.0021  0.109  0.3936  0.1728  0.26
Tomsic 1995   77  0.5073  0.0079  0.0385  0.0334  0.2855  0.09
Uninsky 1932   65  0.5847  0.0066  0.0372  0.0366  0.0581  0.04
Uninsky 1971   75  0.5086  0.0071  0.0471  0.0460  0.0673  0.05
Wasowski 1980   25  0.7218  0.0118  0.0612  0.3315  0.3212  0.32
Zak 1937   31  0.7075  0.0026  0.0626  0.2550  0.0545  0.11
Zak 1951   45  0.6774  0.0027  0.0630  0.2446  0.0642  0.12
Average   1  0.851  0.141  0.142  0.6034  0.247  0.38
Random 1   91  -0.2384  0.0090  0.0190  0.0129  0.2085  0.04
Random 2   90  -0.1591  0.0091  0.0191  0.0163  0.0391  0.02
Random 3   89  -0.0989  0.0089  0.0289  0.0213  0.4653  0.10

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).