Paderewski 1930

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   70  0.1985  0.0071  0.0570  0.0577  0.0374  0.04
Anderszewski 2003   67  0.1923  0.0057  0.0666  0.0655  0.0565  0.05
Ashkenazy 1981   6  0.5115  0.0110  0.188  0.7226  0.5910  0.65
Bacha 2000   55  0.2442  0.0046  0.0748  0.0740  0.1947  0.12
Badura 1965   65  0.2186  0.0068  0.0569  0.0579  0.0375  0.04
Barbosa 1983   42  0.3143  0.0042  0.0739  0.2833  0.3231  0.30
Biret 1990   83  0.0835  0.0086  0.0385  0.0364  0.0487  0.03
Blet 2003   8  0.495  0.048  0.169  0.715  0.695  0.70
Block 1995   4  0.542  0.172  0.343  0.805  0.742  0.77
Blumental 1952   48  0.2655  0.0058  0.0657  0.0671  0.0469  0.05
Boshniakovich 1969   20  0.437  0.0214  0.1617  0.6121  0.5115  0.56
Brailowsky 1960   88  0.0172  0.0088  0.0288  0.0285  0.0389  0.02
Bunin 1987   58  0.2314  0.0149  0.0660  0.0649  0.0758  0.06
Bunin 1987b   59  0.2367  0.0050  0.0752  0.0749  0.0754  0.07
Chiu 1999   37  0.3280  0.0041  0.0743  0.2258  0.0648  0.11
Cohen 1997   76  0.1377  0.0084  0.0386  0.0373  0.0385  0.03
Cortot 1951   46  0.2760  0.0038  0.0745  0.2130  0.3934  0.29
Csalog 1996   50  0.2534  0.0031  0.0844  0.2137  0.2138  0.21
Czerny 1949   91  -0.0973  0.0091  0.0191  0.0182  0.0291  0.01
Czerny 1990   43  0.2878  0.0051  0.0659  0.0654  0.0759  0.06
Duchoud 2007   69  0.1963  0.0067  0.0664  0.0671  0.0467  0.05
Ezaki 2006   77  0.1168  0.0083  0.0380  0.0374  0.0379  0.03
Falvay 1989   73  0.1664  0.0069  0.0665  0.0677  0.0371  0.04
Farrell 1958   87  0.0227  0.0076  0.0381  0.0372  0.0381  0.03
Ferenczy 1958   90  -0.0344  0.0089  0.0289  0.0271  0.0483  0.03
Fliere 1977   5  0.5337  0.005  0.185  0.7422  0.656  0.69
Fou 1978   51  0.2524  0.0052  0.0750  0.0774  0.0363  0.05
Francois 1956   71  0.1856  0.0070  0.0662  0.0646  0.0760  0.06
Friedman 1923   19  0.4316  0.0123  0.0821  0.5535  0.4321  0.49
Friedman 1923b   18  0.4336  0.0024  0.1523  0.5437  0.4420  0.49
Friedman 1930   14  0.479  0.0113  0.1615  0.6317  0.6211  0.62
Garcia 2007   32  0.368  0.0215  0.1325  0.5018  0.4819  0.49
Garcia 2007b   34  0.3440  0.0033  0.0732  0.3825  0.5224  0.44
Gierzod 1998   66  0.2065  0.0055  0.0567  0.0546  0.0857  0.06
Gornostaeva 1994   74  0.1458  0.0080  0.0378  0.0367  0.0486  0.03
Groot 1988   11  0.4817  0.009  0.1913  0.6419  0.4617  0.54
Harasiewicz 1955   26  0.3866  0.0040  0.0737  0.3258  0.0546  0.13
Hatto 1993   13  0.476  0.0311  0.227  0.7220  0.5213  0.61
Hatto 1997   44  0.2838  0.0044  0.0842  0.2337  0.2039  0.21
Horowitz 1949   31  0.3649  0.0037  0.0736  0.3246  0.0841  0.16
Indjic 1988   10  0.483  0.137  0.176  0.7316  0.618  0.67
Kapell 1951   41  0.3131  0.0045  0.1241  0.2452  0.0744  0.13
Kissin 1993   1  0.581  0.331  0.331  0.834  0.831  0.83
Kushner 1989   28  0.3854  0.0034  0.0730  0.4233  0.3127  0.36
Luisada 1991   23  0.4132  0.0022  0.1124  0.5430  0.3822  0.45
Lushtak 2004   52  0.2528  0.0047  0.0746  0.0727  0.2345  0.13
Malcuzynski 1961   17  0.4439  0.0020  0.1614  0.6420  0.4914  0.56
Magaloff 1978   22  0.4129  0.0018  0.1119  0.6018  0.5116  0.55
Magin 1975   7  0.5110  0.0112  0.2410  0.7010  0.783  0.74
Michalowski 1933   24  0.4125  0.0032  0.0928  0.4338  0.2828  0.35
Milkina 1970   78  0.1147  0.0073  0.0379  0.0381  0.0382  0.03
Mohovich 1999   36  0.3348  0.0036  0.0835  0.3432  0.2732  0.30
Moravec 1969   56  0.2487  0.0059  0.0749  0.0758  0.0461  0.05
Morozova 2008   53  0.2533  0.0060  0.0656  0.0674  0.0466  0.05
Neighaus 1950   30  0.3669  0.0027  0.0826  0.5048  0.0940  0.21
Niedzielski 1931   16  0.4422  0.0021  0.1718  0.6123  0.4518  0.52
Ohlsson 1999   27  0.3812  0.0126  0.0727  0.4642  0.1136  0.22
Osinska 1989   63  0.2230  0.0066  0.0653  0.0650  0.0655  0.06
Pachmann 1927   15  0.4621  0.0019  0.1412  0.6514  0.707  0.67
Paderewski 1930   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Perlemuter 1992   9  0.4911  0.016  0.1816  0.6220  0.6112  0.61
Pierdomenico 2008   40  0.3141  0.0030  0.0734  0.3526  0.3726  0.36
Poblocka 1999   62  0.2353  0.0053  0.0658  0.0653  0.0562  0.05
Rabcewiczowa 1932   85  0.0788  0.0085  0.0287  0.0267  0.0480  0.03
Rachmaninoff 1923   68  0.1974  0.0072  0.0473  0.0461  0.0470  0.04
Rangell 2001   54  0.2479  0.0054  0.0568  0.0570  0.0477  0.04
Richter 1976   12  0.4861  0.0016  0.1211  0.6529  0.659  0.65
Rosen 1989   45  0.2770  0.0048  0.0654  0.0663  0.0468  0.05
Rosenthal 1930   72  0.1681  0.0075  0.0383  0.0373  0.0384  0.03
Rosenthal 1931   84  0.0789  0.0081  0.0475  0.0454  0.0573  0.04
Rosenthal 1931b   80  0.1075  0.0079  0.0476  0.0454  0.0578  0.04
Rosenthal 1931c   49  0.2682  0.0056  0.0661  0.0633  0.3143  0.14
Rosenthal 1931d   81  0.1090  0.0078  0.0472  0.0475  0.0388  0.03
Rossi 2007   75  0.1371  0.0074  0.0382  0.0322  0.3250  0.10
Rubinstein 1939   82  0.1083  0.0087  0.0377  0.0386  0.0290  0.02
Rubinstein 1952   29  0.3751  0.0029  0.0629  0.4332  0.3325  0.38
Rubinstein 1966   39  0.3259  0.0043  0.0940  0.2666  0.0549  0.11
Schilhawsky 1960   47  0.2619  0.0061  0.0655  0.0645  0.1251  0.08
Shebanova 2002   2  0.5513  0.014  0.174  0.7718  0.664  0.71
Smith 1975   64  0.2245  0.0065  0.0747  0.0747  0.0753  0.07
Sokolov 2002   35  0.3320  0.0039  0.0838  0.2924  0.4129  0.34
Sztompka 1959   21  0.4118  0.0017  0.1020  0.5635  0.3423  0.44
Tomsic 1995   38  0.3257  0.0035  0.0931  0.4129  0.2430  0.31
Uninsky 1932   25  0.4062  0.0025  0.1122  0.5544  0.1533  0.29
Uninsky 1971   60  0.2352  0.0064  0.0751  0.0777  0.0364  0.05
Wasowski 1980   33  0.3426  0.0028  0.0833  0.3645  0.1635  0.24
Zak 1937   57  0.2476  0.0062  0.0663  0.0649  0.0756  0.06
Zak 1951   61  0.2384  0.0063  0.0571  0.0569  0.0472  0.04
Average   3  0.554  0.093  0.312  0.8154  0.0637  0.22
Random 1   79  0.1150  0.0077  0.0474  0.045  0.5442  0.15
Random 2   86  0.0446  0.0082  0.0384  0.0334  0.2052  0.08
Random 3   89  0.0091  0.0090  0.0190  0.0135  0.1676  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).