Milkina 1970

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   11  0.5934  0.0036  0.0731  0.2426  0.1934  0.21
Anderszewski 2003   55  0.4416  0.0159  0.0465  0.0457  0.0381  0.03
Ashkenazy 1981   35  0.5157  0.0039  0.0630  0.2566  0.0442  0.10
Bacha 2000   15  0.5725  0.0031  0.0529  0.267  0.5714  0.38
Badura 1965   73  0.3864  0.0067  0.0549  0.0545  0.0659  0.05
Barbosa 1983   63  0.4145  0.0046  0.0554  0.0564  0.0467  0.04
Biret 1990   20  0.5535  0.0016  0.0911  0.4414  0.4711  0.45
Blet 2003   60  0.4260  0.0070  0.0464  0.0467  0.0568  0.04
Block 1995   38  0.5065  0.0043  0.0539  0.1727  0.2436  0.20
Blumental 1952   80  0.3129  0.0055  0.0458  0.0444  0.1052  0.06
Boshniakovich 1969   54  0.4461  0.0058  0.0459  0.0449  0.0572  0.04
Brailowsky 1960   19  0.5649  0.0032  0.0523  0.3421  0.3817  0.36
Bunin 1987   78  0.3474  0.0081  0.0380  0.0383  0.0385  0.03
Bunin 1987b   75  0.3424  0.0080  0.0381  0.0382  0.0379  0.03
Chiu 1999   59  0.4250  0.0024  0.0716  0.3725  0.4015  0.38
Cohen 1997   50  0.458  0.0311  0.1225  0.323  0.5612  0.42
Cortot 1951   71  0.3867  0.0076  0.0478  0.0469  0.0475  0.04
Csalog 1996   28  0.5262  0.0042  0.0641  0.1515  0.5029  0.27
Czerny 1949   45  0.4710  0.0218  0.0842  0.1532  0.2735  0.20
Czerny 1990   33  0.5179  0.0054  0.0463  0.0467  0.0473  0.04
Duchoud 2007   36  0.5068  0.0053  0.0461  0.0446  0.0658  0.05
Ezaki 2006   24  0.5319  0.0045  0.0746  0.0761  0.0453  0.05
Falvay 1989   1  0.701  0.431  0.431  0.721  0.751  0.73
Farrell 1958   31  0.5141  0.0057  0.0472  0.0437  0.1945  0.09
Ferenczy 1958   52  0.4431  0.0074  0.0473  0.0447  0.0757  0.05
Fliere 1977   42  0.4982  0.0047  0.0648  0.0667  0.0454  0.05
Fou 1978   6  0.6375  0.002  0.164  0.598  0.504  0.54
Francois 1956   13  0.586  0.0417  0.0819  0.3629  0.2725  0.31
Friedman 1923   90  -0.0883  0.0090  0.0190  0.0186  0.0290  0.01
Friedman 1923b   89  -0.0787  0.0089  0.0289  0.0287  0.0288  0.02
Friedman 1930   87  0.0088  0.0087  0.0288  0.0287  0.0189  0.01
Garcia 2007   82  0.1439  0.0083  0.0382  0.0377  0.0383  0.03
Garcia 2007b   83  0.0932  0.0084  0.0379  0.0365  0.0386  0.03
Gierzod 1998   48  0.4669  0.0050  0.0552  0.0565  0.0470  0.04
Gornostaeva 1994   16  0.5723  0.0026  0.0626  0.3223  0.3324  0.32
Groot 1988   5  0.6476  0.0010  0.1114  0.4129  0.2721  0.33
Harasiewicz 1955   46  0.469  0.025  0.118  0.4630  0.2422  0.33
Hatto 1993   70  0.3830  0.0048  0.0553  0.0565  0.0474  0.04
Hatto 1997   62  0.4111  0.0241  0.0644  0.1253  0.0547  0.08
Horowitz 1949   25  0.5351  0.0021  0.0621  0.3622  0.3220  0.34
Indjic 1988   68  0.3984  0.0049  0.0845  0.0863  0.0451  0.06
Kapell 1951   37  0.5040  0.0063  0.0460  0.0483  0.0378  0.03
Kissin 1993   4  0.6636  0.004  0.255  0.5311  0.535  0.53
Kushner 1989   17  0.5777  0.0028  0.1024  0.3323  0.3123  0.32
Luisada 1991   29  0.527  0.0313  0.1115  0.3921  0.3416  0.36
Lushtak 2004   72  0.3889  0.0064  0.0383  0.0385  0.0384  0.03
Malcuzynski 1961   9  0.6390  0.0030  0.0532  0.2247  0.0641  0.11
Magaloff 1978   12  0.5938  0.0022  0.0718  0.3640  0.1432  0.22
Magin 1975   39  0.5052  0.0034  0.0636  0.2028  0.2333  0.21
Michalowski 1933   81  0.1821  0.0062  0.0476  0.0473  0.0465  0.04
Milkina 1970   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Mohovich 1999   18  0.5733  0.0037  0.0833  0.2243  0.1239  0.16
Moravec 1969   7  0.635  0.0412  0.116  0.475  0.536  0.50
Morozova 2008   43  0.4718  0.0025  0.0728  0.3123  0.2330  0.27
Neighaus 1950   22  0.5512  0.0223  0.0720  0.3646  0.0837  0.17
Niedzielski 1931   67  0.4056  0.0072  0.0471  0.0454  0.0563  0.04
Ohlsson 1999   21  0.5544  0.0040  0.0638  0.1836  0.1538  0.16
Osinska 1989   23  0.5513  0.0214  0.1012  0.4312  0.4710  0.45
Pachmann 1927   64  0.4047  0.0061  0.0556  0.0541  0.1246  0.08
Paderewski 1930   53  0.4453  0.0073  0.0470  0.0457  0.0464  0.04
Perlemuter 1992   66  0.4085  0.0065  0.0474  0.0462  0.0460  0.04
Pierdomenico 2008   61  0.4142  0.0019  0.0722  0.349  0.4813  0.40
Poblocka 1999   40  0.5080  0.0069  0.0469  0.0479  0.0377  0.03
Rabcewiczowa 1932   58  0.4327  0.0056  0.0551  0.0539  0.1844  0.09
Rachmaninoff 1923   77  0.3458  0.0066  0.0462  0.0457  0.0462  0.04
Rangell 2001   10  0.6222  0.007  0.1310  0.446  0.528  0.48
Richter 1976   56  0.4454  0.0068  0.0647  0.0648  0.0556  0.05
Rosen 1989   34  0.5186  0.0044  0.0743  0.1345  0.0549  0.08
Rosenthal 1930   69  0.3963  0.0075  0.0477  0.0465  0.0471  0.04
Rosenthal 1931   57  0.4337  0.0033  0.0535  0.2016  0.4526  0.30
Rosenthal 1931b   65  0.4043  0.0035  0.0740  0.1618  0.3931  0.25
Rosenthal 1931c   51  0.4566  0.0060  0.0468  0.0449  0.0576  0.04
Rosenthal 1931d   47  0.4628  0.0029  0.0734  0.2110  0.4327  0.30
Rossi 2007   84  0.0778  0.0082  0.0384  0.0342  0.0855  0.05
Rubinstein 1939   27  0.522  0.096  0.1213  0.411  0.627  0.50
Rubinstein 1952   2  0.704  0.053  0.202  0.612  0.632  0.62
Rubinstein 1966   3  0.6614  0.018  0.143  0.594  0.643  0.61
Schilhawsky 1960   74  0.3420  0.0079  0.0467  0.0484  0.0382  0.03
Shebanova 2002   14  0.5759  0.0015  0.097  0.4615  0.469  0.46
Smith 1975   30  0.5226  0.0038  0.0837  0.2055  0.0443  0.09
Sokolov 2002   26  0.5315  0.0151  0.0457  0.0462  0.0461  0.04
Sztompka 1959   76  0.3470  0.0077  0.0475  0.0479  0.0380  0.03
Tomsic 1995   8  0.633  0.079  0.179  0.4524  0.2718  0.35
Uninsky 1932   79  0.3271  0.0078  0.0550  0.0570  0.0469  0.04
Uninsky 1971   49  0.4517  0.0071  0.0555  0.0577  0.0366  0.04
Wasowski 1980   44  0.4772  0.0052  0.0466  0.0427  0.2840  0.11
Zak 1937   41  0.5081  0.0027  0.0627  0.3131  0.2728  0.29
Zak 1951   32  0.5173  0.0020  0.0517  0.3627  0.3219  0.34
Random 1   88  -0.0246  0.0086  0.0286  0.0217  0.3050  0.08
Random 2   85  0.0355  0.0085  0.0285  0.0214  0.3548  0.08
Random 3   86  0.0148  0.0088  0.0287  0.0274  0.0387  0.02

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).